zhengchen1999

zhengchen1999's Stars

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.4k1114311.4k

• XPixelGroup/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  Language:Python7.2k895701.2k

• pengsida/learning_research

  本人的科研经验

  6.3k7331375

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.8k12930490

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.6k51157561

• Janspiry/Image-Super-Resolution-via-Iterative-Refinement

  Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

  Language:Python3.7k65140477

• tholman/cursor-effects

  Old-school cursor effects for your browser built with modern JavaScript

  Language:JavaScript3.5k2951256

• TsingZ0/PFLlib

  38 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/

  Language:Python1.6k12204326

• chaofengc/Awesome-Image-Quality-Assessment

  A comprehensive collection of IQA papers

  Language:TeX1.1k251473

• caiyuanhao1998/Retinexformer

  "Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

  Language:Python1.1k515184

• JDAI-CV/dabnn

  dabnn is an accelerated binary neural networks inference framework for mobile platform

  Language:C++7763829102

• caiyuanhao1998/MST

  A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

  Language:Python70897879

• Q-Future/Q-Align

  ③[ICML2024] [IQA, IAA, VQA] All-in-one Foundation Model for visual scoring. Can efficiently fine-tune to downstream datasets.

  Language:Python35324223

• Ree1s/IDM

  Language:Python31253923

• caiyuanhao1998/X-Gaussian

  "Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (ECCV 2024)

  Language:Python26213369

• Q-Future/Q-Bench

  ①[ICLR2024 Spotlight] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.

  Language:Jupyter Notebook25111213

• Q-Future/Q-Instruct

  ②[CVPR 2024] Low-level visual instruction tuning, with a 200K dataset and a model zoo for fine-tuned checkpoints.

  Language:Python21322810

• LeiaLi/SRDiff

  Language:Python19042720

• TsingZ0/HtFLlib

  You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.

  Language:Python128446

• eduardzamfir/seemoredetails

  [ICML 2024] See More Details: Efficient Image Super-Resolution by Experts Mining

  Language:Python1275162

• Zj-BinXia/BBCU

  This project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023

  Language:Python115254

• zhengchen1999/PromptSR

  PyTorch code for our paper "Image Super-Resolution with Text Prompt Diffusion"

  112883

• XPixelGroup/DepictQA

  DepictQA: Depicted Image Quality Assessment with Vision Language Models

  Language:Python1070183

• Jiamian-Wang/T-MASS-text-video-retrieval

  Official implementation of "Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval (CVPR 2024 Highlight)"

  Language:Python56482

• htqin/BiBench

  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

  Language:Python54244

• caiyuanhao1998/BiSCI

  A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)

  Language:Python535213

• zhengchen1999/BI-DiffSR

  PyTorch code for our NeurIPS 2024 paper "Binarized Diffusion Model for Image Super-Resolution"

  Language:Python33142

• Kai-Liu001/2DQuant

  PyTorch code for our paper "2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution"

  Language:Python26310

• zhengchen1999/NTIRE2024_ImageSR_x4

  Solution of the NTIRE 2024 Challenge on Image Super-Resolution (x4)

  Language:Python20107

• zhengchen1999/zhengchen1999.github.io

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