First of all, thank you for making this freely available for everyone! This is really a great move!

I wanted to suggest a few things for the readme: 1.) Add "Microsoft Visual C++" to the requirements. It should be clear that you have to tick the C++ development environment while installing VS2019.

2.) Install Git via "conda install git" (This makes it easier to install nvdiffrast and clone the repo)

3.) Change "Install NVDiffRast" to something more descriptive: pip install -e git+https://github.com/NVlabs/[email protected]#egg=nvdiffrast

4.) Add another step to the installation, detailing to move to a desired folder via the Anaconda Prompt and cloning this repo: cd YOUR/PATH/HERE git clone https://github.com/NVlabs/nvdiffmodeling.git and afterwards to move into the folder cd nvdiffmodeling

5.) Installing CUDA via Anaconda only deploys the bare essential files. The CUDA path is not set when doing it this way. So I downloaded the CUDA toolkit from nvidia and installed it afterwards, to fix that.

I am sure that all of these things are obvious for professionals, but it took me a while to figure all of this out, so I would like to save other people's time.

Thanks for the marvelous work! I have some questions related to the shadertoy fitting case: It seems figure 22 & figure 23 use some special uv un-wrap methods, can you elaborate the algorithm under the hood?

I am trying to get this to work to test the workflow but ran into the error I have installed "Cuda" 11.1 and everything else as in the tutorial Graphics accelerator 3080t

After trying to run a test command, it gives me the following text Do you have any ideas how to fix this? I am more of a technical artist and a cursory search did not return much

(dmodel) I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main>python train.py --config configs/spot.json
Using C:\Users\alexp\AppData\Local\torch_extensions\torch_extensions\Cache as PyTorch extensions root...
C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py:305: UserWarning: Error checking compiler version for cl: 'utf-8' codec can't decode byte 0x8e in position 0: invalid start byte
  warnings.warn(f'Error checking compiler version for {compiler}: {error}')
Detected CUDA files, patching ldflags
Emitting ninja build file C:\Users\alexp\AppData\Local\torch_extensions\torch_extensions\Cache\renderutils_plugin\build.ninja...
Building extension module renderutils_plugin...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/7] cl /showIncludes -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /EHsc -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\common.cpp /Focommon.o
FAILED: common.o
cl /showIncludes -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /EHsc -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\common.cpp /Focommon.o
Оптимизирующий компилятор Microsoft (R) C/C++ версии 19.25.28611 для x64
(C) Корпорация Майкрософт (Microsoft Corporation).  Все права защищены.

Примечание: включение файла:  C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\cuda_runtime.h
Примечание: включение файла:   C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\crt/host_config.h
Примечание: включение файла:   C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\builtin_types.h
Примечание: включение файла:    C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\device_types.h
Примечание: включение файла:     C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\crt/host_defines.h
Примечание: включение файла:    C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\driver_types.h
Примечание: включение файла:     C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\crt/host_defines.h
Примечание: включение файла:     C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\vector_types.h
Примечание: включение файла:      C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\crt/host_defines.h
Примечание: включение файла:     C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\limits.h
Примечание: включение файла:      C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\vcruntime.h
Примечание: включение файла:       C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\sal.h
Примечание: включение файла:        C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\concurrencysal.h
Примечание: включение файла:       C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\vadefs.h
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include\driver_types.h(78): fatal error C1083: Не удается открыть файл включение: stddef.h: No such file or directory,
[2/7] cl /showIncludes -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /EHsc -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\torch_bindings.cpp /Fotorch_bindings.o
FAILED: torch_bindings.o
cl /showIncludes -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /EHsc -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\torch_bindings.cpp /Fotorch_bindings.o
Оптимизирующий компилятор Microsoft (R) C/C++ версии 19.25.28611 для x64
(C) Корпорация Майкрософт (Microsoft Corporation).  Все права защищены.

Примечание: включение файла:  C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch/extension.h
Примечание: включение файла:   C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include\torch/all.h
Примечание: включение файла:    C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include\torch/cuda.h
Примечание: включение файла:     C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch/csrc/WindowsTorchApiMacro.h
Примечание: включение файла:      C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\c10/macros/Export.h
Примечание: включение файла:       C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\c10/macros/cmake_macros.h
Примечание: включение файла:     C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\cstdint
Примечание: включение файла:      C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\yvals.h
Примечание: включение файла:       C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\yvals_core.h
Примечание: включение файла:        C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\vcruntime.h
Примечание: включение файла:         C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\sal.h
Примечание: включение файла:          C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\concurrencysal.h
Примечание: включение файла:         C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\vadefs.h
Примечание: включение файла:        C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\xkeycheck.h
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\yvals.h(12): fatal error C1083: Не удается открыть файл включение: crtdbg.h: No such file or directory,
[3/7] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc --generate-dependencies-with-compile --dependency-output mesh.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\mesh.cu -o mesh.cuda.o
FAILED: mesh.cuda.o
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc --generate-dependencies-with-compile --dependency-output mesh.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\mesh.cu -o mesh.cuda.o
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\crtdefs.h(10): fatal error C1083: ═х єфрхЄё  юЄъЁ√Є№ Їрщы тъы■ўхэшх: corecrt.h: No such file or directory,
mesh.cu
[4/7] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc --generate-dependencies-with-compile --dependency-output loss.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\loss.cu -o loss.cuda.o
FAILED: loss.cuda.o
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc --generate-dependencies-with-compile --dependency-output loss.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\loss.cu -o loss.cuda.o
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\crtdefs.h(10): fatal error C1083: ═х єфрхЄё  юЄъЁ√Є№ Їрщы тъы■ўхэшх: corecrt.h: No such file or directory,
loss.cu
[5/7] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc --generate-dependencies-with-compile --dependency-output bsdf.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\bsdf.cu -o bsdf.cuda.o
FAILED: bsdf.cuda.o
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc --generate-dependencies-with-compile --dependency-output bsdf.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\bsdf.cu -o bsdf.cuda.o
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\crtdefs.h(10): fatal error C1083: ═х єфрхЄё  юЄъЁ√Є№ Їрщы тъы■ўхэшх: corecrt.h: No such file or directory,
bsdf.cu
[6/7] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc --generate-dependencies-with-compile --dependency-output normal.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\normal.cu -o normal.cuda.o
FAILED: normal.cuda.o
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc --generate-dependencies-with-compile --dependency-output normal.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=renderutils_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\torch\csrc\api\include -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\TH -IC:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\ProgramData\Anaconda3\envs\dmodel\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -c I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\c_src\normal.cu -o normal.cuda.o
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.25.28610\include\crtdefs.h(10): fatal error C1083: ═х єфрхЄё  юЄъЁ√Є№ Їрщы тъы■ўхэшх: corecrt.h: No such file or directory,
normal.cu
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1672, in _run_ninja_build
    env=env)
  File "C:\ProgramData\Anaconda3\envs\dmodel\lib\subprocess.py", line 438, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "train.py", line 20, in <module>
    import src.renderutils as ru
  File "I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\__init__.py", line 9, in <module>
    from .ops import xfm_points, xfm_vectors, image_loss, prepare_shading_normal, lambert, pbr_specular, pbr_bsdf, _fresnel_shlick, _ndf_ggx, _lambda_ggx, _masking_smith
  File "I:\Python\Nvidia_Lod\nvdiffmodeling-main\nvdiffmodeling-main\src\renderutils\ops.py", line 61, in <module>
    torch.utils.cpp_extension.load(name='renderutils_plugin', sources=source_paths, extra_ldflags=ldflags, with_cuda=True, verbose=True)
  File "C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1092, in load
    keep_intermediates=keep_intermediates)
  File "C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1303, in _jit_compile
    is_standalone=is_standalone)
  File "C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1408, in _write_ninja_file_and_build_library
    error_prefix=f"Error building extension '{name}'")
  File "C:\ProgramData\Anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1682, in _run_ninja_build
    raise RuntimeError(message) from e
RuntimeError: Error building extension 'renderutils_plugin'

I read your paper and video in detail，about LEARNING MESH AND MATERIALS FROM IMPLICIT SURFACES,How to improve the effect？ Can you give me some suggestions on setting super parameters? I used my own model as the target, started from the sphere you provided, and carried out experiments. I found that the feet and face were always unsatisfactory? There is a big gap with the rendering of snails and elephants mentioned in your paper. can you give me some adivce.

Thank you very much for your work！ When I tried the ewer example, I found the following textures： When you zoom in, you will find many red, yellow and green noises This is still the case when I import the output obj into blender, but the contrast image rendered from nvdiffast does not show this situation. What is the reason?

Your work is great. Thank you very much for your openness. I tried to use rendering on my own model, but I encountered the following problems and would like to consult: 1.In the process of rendering, I found that the face of the character, especially the eyes, was not poorly optimized, and the color could not be reflected. Are there any parameters that need to be adjusted? 2.During rendering, I encountered that. mtl contains a map_ The texture of d cannot be represented in the renderer. How can I solve this problem?

Thank you for your reply

Hi, and thanks for great paper and comprehensive code! Could you please help me understand one thing:

I'm running configs/dancer_displacement.json. Despite "texture_res" being 2048, these 2048 x 2048 textures "learn" huge pixels at lower "train_res":

And this isn't just poor interpolation in Blender, but these are actual large solid blocks (of different scale!) in normal_map_opt and kd_map_opt! Here is a part of texture_n.png from the top left experiment, 1:1 scale:

Why do these maps get more pixelated instead of getting more blurry? I've spent couple days searching the code for the source of this behaviour, and I believe there are only three relevant lines (for now let's consider texture only):

• rasterization;
• interpolating UV from barycentric coordinates;
• sampling texture from UV.

Interpolation doesn't use 'nearest' method so it shouldn't be the source of big pixels. And because views are always different, rasterization should be a problem too. But probably I'm just missing some rendering subtleties?

Thanks again!

hi, Thanks for your project. When I try to run sphere to cow demo, I will report this error: msvcrt.lib(loadcfg.obj) : error LNK2001: unresolved external symbol __enclave_config renderutils_plugin.pyd : fatal error LNK1120: Unresolved external command ninja: build stopped: subcommand failed.

Is it because of my Nanjia version? my current version is: nanjia:1.10.2 pytorch:1.8.1 torchvision:0.9.1 cudnn:7.6.5 cuda:10.2

hi, when using renderutils.xfm_points (e.g. in render.py v_pos_clip = ru.xfm_points(mesh.v_pos[None, ...], mtx_in) - and trying to optimize camera pose in mtx_in - gradients does not flow back. Only when using use_python=True it worked.

Hi, first thanks for sharing this work! I'm trying to solve inverse rendering problem using a photogrammetry dataset which comes with accurate camera calibration mats. i have started from the spot example and i need to convert my intrinsic\extrinsic params to be used in the rastering and cant find an example or a guide to do it. the only hint is that I know it should be converted to openGL and NDC according to nvdiffrast, ill be happy to get an advice, thanks.

Hi, Thank you very much for your research. I'm trying to use your framework to approximate complex materials, but the blender complex material dataset I made with my own is not very good, because I encountered many problems with camera and light settings in my own rendering, Is the ray marching snail used in this paper directly rendered with shadertoy, or is the ray marching process written in Python?

hi, i am read the papaer--Appearance-Driven Automatic 3D Model Simplification, think it's great. But in the demo,i can not find the Animation and Skinning demo, where can i find it ? I want to study how to do it. please help ! thanks

RuntimeError: CUDA out of memory. Tried to allocate 130.00 MiB (GPU 0; 8.00 GiB total capacity; 7.11 GiB already allocated; 0 bytes free; 7.30 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

I am trying to test model simplification on my own .obj. I have created a .mtl file for the .obj but I got an error. How to export .obj file to train the model?

(dmodel) D:\NVIDIATools\nvdiffmodeling-main>python train.py --config configs/spot.json
No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.5'
Using C:\Users\redacted\AppData\Local\torch_extensions\torch_extensions\Cache\py36_cpu as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file C:\Users\redacted\AppData\Local\torch_extensions\torch_extensions\Cache\py36_cpu\renderutils_plugin\build.ninja...
Traceback (most recent call last):
  File "train.py", line 20, in <module>
    import src.renderutils as ru
  File "D:\NVIDIATools\nvdiffmodeling-main\src\renderutils\__init__.py", line 9, in <module>
    from .ops import xfm_points, xfm_vectors, image_loss, prepare_shading_normal, lambert, pbr_specular, pbr_bsdf, _fresnel_shlick, _ndf_ggx, _lambda_ggx, _masking_smith
  File "D:\NVIDIATools\nvdiffmodeling-main\src\renderutils\ops.py", line 61, in <module>
    torch.utils.cpp_extension.load(name='renderutils_plugin', sources=source_paths, extra_ldflags=ldflags, with_cuda=True, verbose=True)
  File "C:\Users\redacted\anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1136, in load
    keep_intermediates=keep_intermediates)
  File "C:\Users\redacted\anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1347, in _jit_compile
    is_standalone=is_standalone)
  File "C:\Users\redacted\anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1445, in _write_ninja_file_and_build_library
    is_standalone=is_standalone)
  File "C:\Users\redacted\anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1834, in _write_ninja_file_to_build_library
    cuda_flags = common_cflags + COMMON_NVCC_FLAGS + _get_cuda_arch_flags()
  File "C:\Users\redacted\anaconda3\envs\dmodel\lib\site-packages\torch\utils\cpp_extension.py", line 1606, in _get_cuda_arch_flags
    arch_list[-1] += '+PTX'
IndexError: list index out of range

(dmodel) D:\NVIDIATools\nvdiffmodeling-main>

After installing the prerequisites, only difference to the instruction is CUDA 11.5 (and i changed the version to the pip install line to that same version) Getting the above when attempting to run the example spot cow training.

Something i'm doing wrong, incompatibility with versions or something else entirely?