[NeurIPS 2025 Spotlight] DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling

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

[arXiv 2024] LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

21 Lessons, Get Started Building with Generative AI

[CVPR2024] Official implementation of SODA-SR.

A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

[CVPR 2024] Aligning and Prompting Everything All at Once for Universal Visual Perception

(CVPR2024)RMT: Retentive Networks Meet Vision Transformer

DCT (discrete cosine transform) functions for pytorch

✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models

✨✨Latest Advances on Multimodal Large Language Models

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

Dataset Condensation (ICLR21 and ICML21)

High quality, fast, modular reference implementation of SSD in PyTorch

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video ta…

[NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation, ECCV 2020 Oral

Fast Differentiable Sorting and Ranking

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

End-to-End Object Detection with Transformers

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

A PyTorch converter for SimCLR checkpoints

Methods and Implements of Deep Clustering

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).