DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

Last update: Dec 15, 2022

Overview

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (UNC Chapel Hill)
Paper

Visual Reasoning

Please see ./paintskills for our DETR-based visual reasoning skill evaluation.

Reference

Please cite our paper if you use our dataset in your works:

@article{Cho2022DallEval,
  title         = {DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers},
  author        = {Jaemin Cho and Abhay Zala and Mohit Bansal},
  year          = {2022},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  eprint        = {2202.04053}
}

Owner

Jaemin Cho

GitHub Repository https://arxiv.org/abs/2202.04053

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DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

Related tags

Overview

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

Visual Reasoning

Reference

Owner

Jaemin Cho

ObsPy: A Python Toolbox for seismology/seismological observatories.

Source code for our paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash"

[ACM MM 2021] Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)

Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]

Conversational text Analysis using various NLP techniques

Weight initialization schemes for PyTorch nn.Modules

Python implementation of 3D facial mesh exaggeration using the techniques described in the paper: Computational Caricaturization of Surfaces.

PSPNet in Chainer

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Evaluation toolkit of the informative tracking benchmark comprising 9 scenarios, 180 diverse videos, and new challenges.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Rethinking Portrait Matting with Privacy Preserving

Tweesent-back - Tweesent backend uses fastAPI as the web framework

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation

Public Code for NIPS submission SimiGrad: Fine-Grained Adaptive Batching for Large ScaleTraining using Gradient Similarity Measurement

This is a Python wrapper for TA-LIB based on Cython instead of SWIG.

Collections for the lasted paper about multi-view clustering methods (papers, codes)

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.