🕹️ Official Implementation of Conditional Motion In-betweening (CMIB) 🏃

Last update: Dec 22, 2022

Overview

Conditional Motion In-Betweening (CMIB)

Official implementation of paper: Conditional Motion In-betweeening.

in-betweening	pose-conditioned

walk	jump	dance

Environments

This repo is tested on following environment:

Ubuntu 20.04
Python >= 3.7
PyTorch == 1.10.1
Cuda V11.3.109

Install

Follow LAFAN1 dataset's installation guide. You need to install git lfs first before cloning the dataset repo.
Run LAFAN1's evaluate.py to unzip and validate it. (Install numpy first if you don't have it)
```
$ pip install numpy
$ python ubisoft-laforge-animation-dataset/evaluate.py 
```
With this, you will have unpacked LAFAN dataset under ubisoft-laforge-animation-dataset folder.
Install appropriate pytorch version depending on your device(CPU/GPU), then install packages listed in requirements.txt. .

Trained Weights

You can download trained weights from here.

Train from Scratch

Trining script is trainer.py.

python trainer.py \
	--processed_data_dir="processed_data_80/" \
	--window=90 \
	--batch_size=32 \
	--epochs=5000 \
	--device=0 \
	--entity=cmib_exp \
	--exp_name="cmib_80" \
	--save_interval=50 \
	--learning_rate=0.0001 \
	--loss_cond_weight=1.5 \
	--loss_pos_weight=0.05 \
	--loss_rot_weight=2.0 \
	--from_idx=9 \
	--target_idx=88 \
	--interpolation='slerp'

Inference

You can use run_cmib.py for inference. Please refer to help page of run_cmib.py for more details.

python run_cmib.py --help

Reference

LAFAN1 Dataset

@article{harvey2020robust,
author    = {Félix G. Harvey and Mike Yurick and Derek Nowrouzezahrai and Christopher Pal},
title     = {Robust Motion In-Betweening},
booktitle = {ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH)},
publisher = {ACM}, 
volume    = {39},
number    = {4},
year      = {2020}
}

Citation

@misc{kim2022conditional,
      title={Conditional Motion In-betweening}, 
      author={Jihoon Kim and Taehyun Byun and Seungyoun Shin and Jungdam Won and Sungjoon Choi},
      year={2022},
      eprint={2202.04307},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Author

Comments

shaking for start and target when I training my self dataset?

when I trained myself data for 175epoch , I found the result sequence joint with start and target will suddenly shake. I wan't to know , How can reduce this phenomenon?

opened by miaoYuanyuan 12
Benchmark models show different l2p,l2q from the paper

I download the benchmark models from the site, and test it on lanfan dataset. But the l2p and l2q are diffrent from the paper. I wonder if something wrong with my setting. Or, the benchmark models are not the best setting trained models.

opened by holyhao 4
Question how is the performance in regards to hand/finger movement and facial expressions?

I was wondering if the method also works on "finer" detail movement in regards to the smaller body parts as hands and facial expressions.

Cool work ;)

opened by AIMads 2
Use linear probed discriminator

Current unrolled state does not handle sequential data, which may lead to fail capture modality. Consider using the last cell state as a motion descriptor and discriminator input.

opened by jihoonerd 2
where I can find corresponding code about Motion data augmentation?
Based on my own understand, there are 3 parts process about traing.

Randomized Shuffled Anchor Pose: corresponding to the random mask_start_frame.

Semantic Embedding: in the network Sturcture, cond_embedding

motion data augmentation? I can't find the corresponding code?
opened by miaoYuanyuan 1
Some questions about the input of network

The input of transformer model is [seq_len, batch_size, embedding_dim] instead of [batch_size, seq_len, embedding_dim], what‘s the purpose of this design？

opened by icech 1
Current test.py does not support continuous code

Continuous codes are uniformly distributed in the range of [-1,1]. We need a test code to confirm varying continuous code similar as how we do in discrete code case.

opened by jihoonerd 1
Bump pillow from 8.1.2 to 8.2.0
Bumps pillow from 8.1.2 to 8.2.0.

Release notes

Sourced from pillow's releases.

8.2.0

https://pillow.readthedocs.io/en/stable/releasenotes/8.2.0.html

Changes

Security fixes for 8.2.0 #5377 [@hugovk]

Move getxmp() to JpegImageFile #5376 [@radarhere]

Added getxmp() method #5144 [@UrielMaD]

Compile LibTIFF with CMake on Windows #5359 [@nulano]

Add ImageShow support for GraphicsMagick #5349 [@latosha-maltba]

Tiff crash fixes in TiffDecode.c #5372 [@wiredfool]

Remove redundant check (addition to #5364) #5366 [@kkopachev]

Do not load transparent pixels from subsequent GIF frames #5333 [@radarhere]

Use LZW encoding when saving GIF images #5291 [@raygard]

Set all transparent colors to be equal in quantize() #5282 [@radarhere]

Allow PixelAccess to use Python int when parsing x and y #5206 [@radarhere]

Removed Image._MODEINFO #5316 [@radarhere]

Add preserve_tone option to autocontrast #5350 [@elejke]

Only import numpy when necessary #5323 [@radarhere]

Fixed linear_gradient and radial_gradient I and F modes #5274 [@radarhere]

Add support for reading TIFFs with PlanarConfiguration=2 #5364 [@wiredfool]

More OSS-Fuzz support #5328 [@wiredfool]

Do not premultiply alpha when resizing with Image.NEAREST resampling #5304 [@nulano]

Use quantization method attributes #5353 [@radarhere]

Dynamically link FriBiDi instead of Raqm #5062 [@nulano]

Removed build_distance_tables return value #5363 [@radarhere]

Allow fewer PNG palette entries than the bit depth maximum when saving #5330 [@radarhere]

Use duration from info dictionary when saving WebP #5338 [@radarhere]

Improved efficiency when creating GIF disposal images #5326 [@radarhere]

Stop flattening EXIF IFD into getexif() #4947 [@radarhere]

Replaced tiff_deflate with tiff_adobe_deflate compression when saving TIFF images #5343 [@radarhere]

Save ICC profile from TIFF encoderinfo #5321 [@radarhere]

Moved RGB fix inside ImageQt class #5268 [@radarhere]

Fix -Wformat error in TiffDecode #5305 [@lukegb]

Allow alpha_composite destination to be negative #5313 [@radarhere]

Ensure file is closed if it is opened by ImageQt.ImageQt #5260 [@radarhere]

Added ImageDraw rounded_rectangle method #5208 [@radarhere]

Added IPythonViewer #5289 [@radarhere]

Only draw each rectangle outline pixel once #5183 [@radarhere]

Use mmap instead of built-in Win32 mapper #5224 [@radarhere]

Handle PCX images with an odd stride #5214 [@radarhere]

Only read different sizes for "Large Thumbnail" MPO frames #5168 [@radarhere]

Dependencies

Updated harfbuzz to 2.8.0 #5334 [@radarhere]

Deprecations

... (truncated)

Changelog

Sourced from pillow's changelog.

8.2.0 (2021-04-01)

Added getxmp() method #5144 [UrielMaD, radarhere]

Add ImageShow support for GraphicsMagick #5349 [latosha-maltba, radarhere]

Do not load transparent pixels from subsequent GIF frames #5333 [zewt, radarhere]

Use LZW encoding when saving GIF images #5291 [raygard]

Set all transparent colors to be equal in quantize() #5282 [radarhere]

Allow PixelAccess to use Python int when parsing x and y #5206 [radarhere]

Removed Image._MODEINFO #5316 [radarhere]

Add preserve_tone option to autocontrast #5350 [elejke, radarhere]

Fixed linear_gradient and radial_gradient I and F modes #5274 [radarhere]

Add support for reading TIFFs with PlanarConfiguration=2 #5364 [kkopachev, wiredfool, nulano]

Deprecated categories #5351 [radarhere]

Do not premultiply alpha when resizing with Image.NEAREST resampling #5304 [nulano]

Dynamically link FriBiDi instead of Raqm #5062 [nulano]

Allow fewer PNG palette entries than the bit depth maximum when saving #5330 [radarhere]

Use duration from info dictionary when saving WebP #5338 [radarhere]

Stop flattening EXIF IFD into getexif() #4947 [radarhere, kkopachev]

... (truncated)

Commits

e0e353c 8.2.0 version bump

ee635be Merge pull request #5377 from hugovk/security-and-release-notes

694c84f Fix typo [ci skip]

8febdad Review, typos and lint

fea4196 Reorder, roughly alphabetic

496245a Fix BLP DOS -- CVE-2021-28678

22e9bee Fix DOS in PSDImagePlugin -- CVE-2021-28675

ba65f0b Fix Memory DOS in ImageFont

bb6c11f Fix FLI DOS -- CVE-2021-28676

5a5e6db Fix EPS DOS on _open -- CVE-2021-28677

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dependencies
opened by dependabot[bot] 1
Bump pillow from 8.0.1 to 8.2.0 in /wandb/run-20210721_164106-3rr1e9j2/files
⚠️ Dependabot is rebasing this PR ⚠️

Rebasing might not happen immediately, so don't worry if this takes some time.

Note: if you make any changes to this PR yourself, they will take precedence over the rebase.

Bumps pillow from 8.0.1 to 8.2.0.

Release notes

Sourced from pillow's releases.

8.2.0

https://pillow.readthedocs.io/en/stable/releasenotes/8.2.0.html

Changes

Security fixes for 8.2.0 #5377 [@hugovk]

Move getxmp() to JpegImageFile #5376 [@radarhere]

Added getxmp() method #5144 [@UrielMaD]

Compile LibTIFF with CMake on Windows #5359 [@nulano]

Add ImageShow support for GraphicsMagick #5349 [@latosha-maltba]

Tiff crash fixes in TiffDecode.c #5372 [@wiredfool]

Remove redundant check (addition to #5364) #5366 [@kkopachev]

Do not load transparent pixels from subsequent GIF frames #5333 [@radarhere]

Use LZW encoding when saving GIF images #5291 [@raygard]

Set all transparent colors to be equal in quantize() #5282 [@radarhere]

Allow PixelAccess to use Python int when parsing x and y #5206 [@radarhere]

Removed Image._MODEINFO #5316 [@radarhere]

Add preserve_tone option to autocontrast #5350 [@elejke]

Only import numpy when necessary #5323 [@radarhere]

Fixed linear_gradient and radial_gradient I and F modes #5274 [@radarhere]

Add support for reading TIFFs with PlanarConfiguration=2 #5364 [@wiredfool]

More OSS-Fuzz support #5328 [@wiredfool]

Do not premultiply alpha when resizing with Image.NEAREST resampling #5304 [@nulano]

Use quantization method attributes #5353 [@radarhere]

Dynamically link FriBiDi instead of Raqm #5062 [@nulano]

Removed build_distance_tables return value #5363 [@radarhere]

Allow fewer PNG palette entries than the bit depth maximum when saving #5330 [@radarhere]

Use duration from info dictionary when saving WebP #5338 [@radarhere]

Improved efficiency when creating GIF disposal images #5326 [@radarhere]

Stop flattening EXIF IFD into getexif() #4947 [@radarhere]

Replaced tiff_deflate with tiff_adobe_deflate compression when saving TIFF images #5343 [@radarhere]

Save ICC profile from TIFF encoderinfo #5321 [@radarhere]

Moved RGB fix inside ImageQt class #5268 [@radarhere]

Fix -Wformat error in TiffDecode #5305 [@lukegb]

Allow alpha_composite destination to be negative #5313 [@radarhere]

Ensure file is closed if it is opened by ImageQt.ImageQt #5260 [@radarhere]

Added ImageDraw rounded_rectangle method #5208 [@radarhere]

Added IPythonViewer #5289 [@radarhere]

Only draw each rectangle outline pixel once #5183 [@radarhere]

Use mmap instead of built-in Win32 mapper #5224 [@radarhere]

Handle PCX images with an odd stride #5214 [@radarhere]

Only read different sizes for "Large Thumbnail" MPO frames #5168 [@radarhere]

Dependencies

Updated harfbuzz to 2.8.0 #5334 [@radarhere]

Deprecations

... (truncated)

Changelog

Sourced from pillow's changelog.

8.2.0 (2021-04-01)

Added getxmp() method #5144 [UrielMaD, radarhere]

Add ImageShow support for GraphicsMagick #5349 [latosha-maltba, radarhere]

Do not load transparent pixels from subsequent GIF frames #5333 [zewt, radarhere]

Use LZW encoding when saving GIF images #5291 [raygard]

Set all transparent colors to be equal in quantize() #5282 [radarhere]

Allow PixelAccess to use Python int when parsing x and y #5206 [radarhere]

Removed Image._MODEINFO #5316 [radarhere]

Add preserve_tone option to autocontrast #5350 [elejke, radarhere]

Fixed linear_gradient and radial_gradient I and F modes #5274 [radarhere]

Add support for reading TIFFs with PlanarConfiguration=2 #5364 [kkopachev, wiredfool, nulano]

Deprecated categories #5351 [radarhere]

Do not premultiply alpha when resizing with Image.NEAREST resampling #5304 [nulano]

Dynamically link FriBiDi instead of Raqm #5062 [nulano]

Allow fewer PNG palette entries than the bit depth maximum when saving #5330 [radarhere]

Use duration from info dictionary when saving WebP #5338 [radarhere]

Stop flattening EXIF IFD into getexif() #4947 [radarhere, kkopachev]

... (truncated)

Commits

e0e353c 8.2.0 version bump

ee635be Merge pull request #5377 from hugovk/security-and-release-notes

694c84f Fix typo [ci skip]

8febdad Review, typos and lint

fea4196 Reorder, roughly alphabetic

496245a Fix BLP DOS -- CVE-2021-28678

22e9bee Fix DOS in PSDImagePlugin -- CVE-2021-28675

ba65f0b Fix Memory DOS in ImageFont

bb6c11f Fix FLI DOS -- CVE-2021-28676

5a5e6db Fix EPS DOS on _open -- CVE-2021-28677

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dependencies
opened by dependabot[bot] 1
Bump urllib3 from 1.24.1 to 1.26.5 in /wandb/run-20210721_164106-3rr1e9j2/files
⚠️ Dependabot is rebasing this PR ⚠️

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Bumps urllib3 from 1.24.1 to 1.26.5.

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1.26.5

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

Fixed deprecation warnings emitted in Python 3.10.

Updated vendored six library to 1.16.0.

Improved performance of URL parser when splitting the authority component.

If you or your organization rely on urllib3 consider supporting us via GitHub Sponsors

1.26.4

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

Changed behavior of the default SSLContext when connecting to HTTPS proxy during HTTPS requests. The default SSLContext now sets check_hostname=True.

If you or your organization rely on urllib3 consider supporting us via GitHub Sponsors

1.26.3

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

Fixed bytes and string comparison issue with headers (Pull #2141)

Changed ProxySchemeUnknown error message to be more actionable if the user supplies a proxy URL without a scheme (Pull #2107)

If you or your organization rely on urllib3 consider supporting us via GitHub Sponsors

1.26.2

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

Fixed an issue where wrap_socket and CERT_REQUIRED wouldn't be imported properly on Python 2.7.8 and earlier (Pull #2052)

1.26.1

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

Fixed an issue where two User-Agent headers would be sent if a User-Agent header key is passed as bytes (Pull #2047)

1.26.0

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

Added support for HTTPS proxies contacting HTTPS servers (Pull #1923, Pull #1806)

Deprecated negotiating TLSv1 and TLSv1.1 by default. Users that still wish to use TLS earlier than 1.2 without a deprecation warning should opt-in explicitly by setting ssl_version=ssl.PROTOCOL_TLSv1_1 (Pull #2002) Starting in urllib3 v2.0: Connections that receive a DeprecationWarning will fail

Deprecated Retry options Retry.DEFAULT_METHOD_WHITELIST, Retry.DEFAULT_REDIRECT_HEADERS_BLACKLIST and Retry(method_whitelist=...) in favor of Retry.DEFAULT_ALLOWED_METHODS, Retry.DEFAULT_REMOVE_HEADERS_ON_REDIRECT, and Retry(allowed_methods=...) (Pull #2000) Starting in urllib3 v2.0: Deprecated options will be removed

... (truncated)

Changelog

Sourced from urllib3's changelog.

1.26.5 (2021-05-26)

Fixed deprecation warnings emitted in Python 3.10.

Updated vendored six library to 1.16.0.

Improved performance of URL parser when splitting the authority component.

1.26.4 (2021-03-15)

Changed behavior of the default SSLContext when connecting to HTTPS proxy during HTTPS requests. The default SSLContext now sets check_hostname=True.

1.26.3 (2021-01-26)

Fixed bytes and string comparison issue with headers (Pull #2141)

Changed ProxySchemeUnknown error message to be more actionable if the user supplies a proxy URL without a scheme. (Pull #2107)

1.26.2 (2020-11-12)

Fixed an issue where wrap_socket and CERT_REQUIRED wouldn't be imported properly on Python 2.7.8 and earlier (Pull #2052)

1.26.1 (2020-11-11)

Fixed an issue where two User-Agent headers would be sent if a User-Agent header key is passed as bytes (Pull #2047)

1.26.0 (2020-11-10)

NOTE: urllib3 v2.0 will drop support for Python 2. Read more in the v2.0 Roadmap <https://urllib3.readthedocs.io/en/latest/v2-roadmap.html>_.

Added support for HTTPS proxies contacting HTTPS servers (Pull #1923, Pull #1806)

Deprecated negotiating TLSv1 and TLSv1.1 by default. Users that still wish to use TLS earlier than 1.2 without a deprecation warning

... (truncated)

Commits

d161647 Release 1.26.5

2d4a3fe Improve performance of sub-authority splitting in URL

2698537 Update vendored six to 1.16.0

07bed79 Fix deprecation warnings for Python 3.10 ssl module

d725a9b Add Python 3.10 to GitHub Actions

339ad34 Use pytest==6.2.4 on Python 3.10+

f271c9c Apply latest Black formatting

1884878 [1.26] Properly proxy EOF on the SSLTransport test suite

a891304 Release 1.26.4

8d65ea1 Merge pull request from GHSA-5phf-pp7p-vc2r

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dependencies
opened by dependabot[bot] 1
Bump tensorflow-gpu from 1.15.3 to 2.4.2 in /wandb/run-20210721_164106-3rr1e9j2/files
⚠️ Dependabot is rebasing this PR ⚠️

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Bumps tensorflow-gpu from 1.15.3 to 2.4.2.

Release notes

Sourced from tensorflow-gpu's releases.

TensorFlow 2.4.2

Release 2.4.2

This release introduces several vulnerability fixes:

Fixes a heap buffer overflow in RaggedBinCount (CVE-2021-29512)

Fixes a heap out of bounds write in RaggedBinCount (CVE-2021-29514)

Fixes a type confusion during tensor casts which leads to dereferencing null pointers (CVE-2021-29513)

Fixes a reference binding to null pointer in MatrixDiag* ops (CVE-2021-29515)

Fixes a null pointer dereference via invalid Ragged Tensors (CVE-2021-29516)

Fixes a division by zero in Conv3D (CVE-2021-29517)

Fixes vulnerabilities where session operations in eager mode lead to null pointer dereferences (CVE-2021-29518)

Fixes a CHECK-fail in SparseCross caused by type confusion (CVE-2021-29519)

Fixes a segfault in SparseCountSparseOutput (CVE-2021-29521)

Fixes a heap buffer overflow in Conv3DBackprop* (CVE-2021-29520)

Fixes a division by 0 in Conv3DBackprop* (CVE-2021-29522)

Fixes a CHECK-fail in AddManySparseToTensorsMap (CVE-2021-29523)

Fixes a division by 0 in Conv2DBackpropFilter (CVE-2021-29524)

Fixes a division by 0 in Conv2DBackpropInput (CVE-2021-29525)

Fixes a division by 0 in Conv2D (CVE-2021-29526)

Fixes a division by 0 in QuantizedConv2D (CVE-2021-29527)

Fixes a division by 0 in QuantizedMul (CVE-2021-29528)

Fixes vulnerabilities caused by invalid validation in SparseMatrixSparseCholesky (CVE-2021-29530)

Fixes a heap buffer overflow caused by rounding (CVE-2021-29529)

Fixes a CHECK-fail in tf.raw_ops.EncodePng (CVE-2021-29531)

Fixes a heap out of bounds read in RaggedCross (CVE-2021-29532)

Fixes a CHECK-fail in DrawBoundingBoxes (CVE-2021-29533)

Fixes a heap buffer overflow in QuantizedMul (CVE-2021-29535)

Fixes a CHECK-fail in SparseConcat (CVE-2021-29534)

Fixes a heap buffer overflow in QuantizedResizeBilinear (CVE-2021-29537)

Fixes a heap buffer overflow in QuantizedReshape (CVE-2021-29536)

Fixes a division by zero in Conv2DBackpropFilter (CVE-2021-29538)

Fixes a heap buffer overflow in Conv2DBackpropFilter (CVE-2021-29540)

Fixes a heap buffer overflow in StringNGrams (CVE-2021-29542)

Fixes a null pointer dereference in StringNGrams (CVE-2021-29541)

Fixes a CHECK-fail in QuantizeAndDequantizeV4Grad (CVE-2021-29544)

Fixes a CHECK-fail in CTCGreedyDecoder (CVE-2021-29543)

Fixes a heap buffer overflow in SparseTensorToCSRSparseMatrix (CVE-2021-29545)

Fixes a division by 0 in QuantizedBiasAdd (CVE-2021-29546)

Fixes a heap out of bounds in QuantizedBatchNormWithGlobalNormalization (CVE-2021-29547)

Fixes a division by 0 in QuantizedBatchNormWithGlobalNormalization (CVE-2021-29548)

Fixes a division by 0 in QuantizedAdd (CVE-2021-29549)

Fixes a division by 0 in FractionalAvgPool (CVE-2021-29550)

Fixes an OOB read in MatrixTriangularSolve (CVE-2021-29551)

Fixes a heap OOB in QuantizeAndDequantizeV3 (CVE-2021-29553)

Fixes a CHECK-failure in UnsortedSegmentJoin (CVE-2021-29552)

Fixes a division by 0 in DenseCountSparseOutput (CVE-2021-29554)

Fixes a division by 0 in FusedBatchNorm (CVE-2021-29555)

Fixes a division by 0 in SparseMatMul (CVE-2021-29557)

Fixes a division by 0 in Reverse (CVE-2021-29556)

... (truncated)

Changelog

Sourced from tensorflow-gpu's changelog.

Release 2.4.2

This release introduces several vulnerability fixes:

Fixes a heap buffer overflow in RaggedBinCount (CVE-2021-29512)

Fixes a heap out of bounds write in RaggedBinCount (CVE-2021-29514)

Fixes a type confusion during tensor casts which leads to dereferencing null pointers (CVE-2021-29513)

Fixes a reference binding to null pointer in MatrixDiag* ops (CVE-2021-29515)

Fixes a null pointer dereference via invalid Ragged Tensors (CVE-2021-29516)

Fixes a division by zero in Conv3D (CVE-2021-29517)

Fixes vulnerabilities where session operations in eager mode lead to null pointer dereferences (CVE-2021-29518)

Fixes a CHECK-fail in SparseCross caused by type confusion (CVE-2021-29519)

Fixes a segfault in SparseCountSparseOutput (CVE-2021-29521)

Fixes a heap buffer overflow in Conv3DBackprop* (CVE-2021-29520)

Fixes a division by 0 in Conv3DBackprop* (CVE-2021-29522)

Fixes a CHECK-fail in AddManySparseToTensorsMap (CVE-2021-29523)

Fixes a division by 0 in Conv2DBackpropFilter (CVE-2021-29524)

Fixes a division by 0 in Conv2DBackpropInput (CVE-2021-29525)

Fixes a division by 0 in Conv2D (CVE-2021-29526)

Fixes a division by 0 in QuantizedConv2D (CVE-2021-29527)

Fixes a division by 0 in QuantizedMul (CVE-2021-29528)

Fixes vulnerabilities caused by invalid validation in SparseMatrixSparseCholesky (CVE-2021-29530)

Fixes a heap buffer overflow caused by rounding (CVE-2021-29529)

Fixes a CHECK-fail in tf.raw_ops.EncodePng (CVE-2021-29531)

Fixes a heap out of bounds read in RaggedCross (CVE-2021-29532)

Fixes a CHECK-fail in DrawBoundingBoxes

... (truncated)

Commits

1923123 Merge pull request #50210 from tensorflow/geetachavan1-patch-1

a0c8093 Update BUILD

f1c8200 Merge pull request #50203 from tensorflow/mihaimaruseac-patch-1

7cf45b5 Update common.sh

4aaac2b Merge pull request #50185 from geetachavan1/cherrypicks_U90C1

65afa4b Fix the nightly nonpip builds for MacOS.

46c1821 Merge pull request #50184 from tensorflow/mihaimaruseac-patch-1

cf8d667 Update common_win.bat

b2ef8a6 Merge pull request #50061 from tensorflow/geetachavan1-patch-2

f9a1ba8 Update sparse_fill_empty_rows_op.cc

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Owner

Jihoon Kim

GitHub Repository https://jihoonerd.github.io/Conditional-Motion-In-Betweening/

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🕹️ Official Implementation of Conditional Motion In-betweening (CMIB) 🏃

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8.2.0

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8.2.0

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TensorFlow 2.4.2

Release 2.4.2

Release 2.4.2

Releases(v1.0)

v1.0(Dec 30, 2021)

v0.2(Oct 1, 2021)

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