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1. Transformer-Explainability Transformer-Explainability Public

   [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

   Jupyter Notebook 1.8k 241

2. Transformer-MM-Explainability Transformer-MM-Explainability Public

   [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…

   Jupyter Notebook 801 107

3. RobustViT RobustViT Public

   [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers t…

   Jupyter Notebook 127 13

4. TargetCLIP TargetCLIP Public

   [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

   Jupyter Notebook 232 27

5. yuval-alaluf/Attend-and-Excite yuval-alaluf/Attend-and-Excite Public

   Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

   Jupyter Notebook 698 62

6. Conceptor Conceptor Public

   Official implementation of the paper The Hidden Language of Diffusion Models

   69