Stars
Collection of AWESOME vision-language models for vision tasks
The Paper List of Large Multi-Modality Model (Perception, Generation, Unification), Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Ins…
Collection of awesome parameter-efficient fine-tuning resources.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
collection of diffusion model papers categorized by their subareas
One summary of efficient segment anything models
[TPAMI 2023] Multimodal Image Synthesis and Editing: The Generative AI Era
A collection of resources and papers on Diffusion Models
Curated list of awesome resources for the Stable Diffusion AI Model.
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
A paper summary of image inpainting
A curated list of resources for Image and Video Deblurring
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119
Implementation for "DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations" (NeurIPS 2022))
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
A curated list of prompt-based paper in computer vision and vision-language learning.
Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022)