Huage001

Huage001's Stars

• timothybrooks/instruct-pix2pix

  Language:Python6.3k530

• yongchaoz/FRePo

  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)

  Language:Python4410

• wannain/NUS_ECE_course

  some reports and materials for NUS ECE master courses

  Language:HTML2

• Adamdad/DeRy

  [NeurIPS2022] Deep Model Reassembly

  Language:Python25710

• VainF/Torch-Pruning

  [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

  Language:Python2.6k324

• JngwenYe/LIRF

  Code for ECCV 2022 paper “Learning with Recoverable Forgetting”

  Language:Python211

• Huage001/DynaST

  Pytorch implementation of paper "DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation", ECCV 2022.

  Language:Python532

• Adamdad/KnowledgeFactor

  [ECCV2022] Factorizing Knowledge in Neural Networks

  Language:Python865

• GeorgeCazenavette/mtt-distillation

  Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

  Language:Python39054

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile66.5k8.7k

• Huage001/AdaAttN

  Officially unofficial PyTorch re-implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.

  Language:Python20634

• Jiang-Yidi/TransformerDistillation-SLU

  Language:Python114

• OliverRensu/Shunted-Transformer

  Language:Python20920

• Adamdad/Filter-Gradient-Decent

  In this paper, we propose Filter Gradient Decent (FGD), an efficient stochastic optimization algorithm that makes a consistent estimation of the local gradient by solving an adaptive filtering problem with different designs of filters.

  Language:Python112

• zhenglab/HarmonyTransformer

  Language:Python4211

• bcmi/Awesome-Image-Harmonization

  A curated list of papers, code and resources pertaining to image harmonization.

  41828

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

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

  Language:Python3.5k461

• yingchen001/BAT-Fill

  [ACM MM 2021] Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

  Language:Python304

• NJUHuoJing/MAST

  ManifoldAlignmentStyleTransfer

  Language:Python436

• paint4poem/paint4poem

  Code for paintt4poem paper

  Language:Python505

• Ha0Tang/SelectionGAN

  [CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

  Language:Python46063

• Ha0Tang/Guided-I2I-Translation-Papers

  Guided Image-to-Image Translation Papers

  13310

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8k998

• salu133445/muspy

  A toolkit for symbolic music generation

  Language:Python42749

• hojonathanho/diffusion

  Denoising Diffusion Probabilistic Models

  Language:Python3.7k362

• neuralchen/SimSwap

  An arbitrary face-swapping framework on images and videos with one single trained model!

  Language:Python4.5k884

• cxjyxxme/pix2pixSC

  Official PyTorch Implementation of "Example-Guided Style-Consistent Image Synthesis from Semantic Labeling" - CVPR 2019

  Language:Python556

• vt-vl-lab/Guided-pix2pix

  [ICCV 2019] Guided Image-to-Image Translation with Bi-Directional Feature Transformation

  Language:Python19430

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.4k532

• wzmsltw/PaintTransformer

  Official PaddlePaddle implementation of Paint Transformer

  Language:Python31135