sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows, in ICLR 2024

Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows, in ICML 2023

AI-Generated Presets for Faithful 4K Color Style Transfer in Real Time [CVPR 2023]

CVPR2022 (official implementation of "Exposure Normalization and Compensation for Multiple-Exposure Correction")

Official implementation for our ICCV 2023 paper “Towards General Low-Light Raw Noise Synthesis and Modeling”

Acceptance rates for the major AI conferences

Official pytorch implementation for "Low-light Image Enhancement with Wavelet-based Diffusion Models"

Code Released for URetinex-Net

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising (CVPR 2023)

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

A collection of resources and papers on Diffusion Models

Materials for the Hugging Face Diffusion Models Course

OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows

Implementation of Glow in PyTorch

Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

"모두를 위한 메타러닝" 책에 대한 코드 저장소

A Collection of Papers and Codes in CVPR2023/2022 about low level vision

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Reinforcement Learning in PyTorch

Python library for Reinforcement Learning.