Focus on prompting and generating

A suite of image and video neural tokenizers

[NeurIPS 2024] Classification Done Right for Vision-Language Pre-Training

Official Pytorch Implementation for “Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation” (CVPR 2023)

[NeurIPS 2024🔥] DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

[NeurIPS'2024]: DiffGS: Functional Gaussian Splatting Diffusion

[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.

code for CLIPDraw

A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

DepthSplat: Connecting Gaussian Splatting and Depth

Text4Seg: Reimagining Image Segmentation as Text Generation

Code release for ConvNeXt V2 model

Implementation for MatMul-free LM.

Official Implemention for "CDNeXt: Remote Sensing Image Change Detection Based on Temporospatial Interactive Attention Module"

[CVPR 2024] Code release for TransNeXt model

(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers

This is code of paper "ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer"

The codes for TCFormer in paper: Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

UnrealCV: Connecting Computer Vision to Unreal Engine

CVPR2023: Vector Quantization with Self-Attention for Quality-Independent Representation Learning.

[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption