realxuyang

realxuyang's Stars

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.7k2211584.1k

• tuna/thuthesis

  LaTeX Thesis Template for Tsinghua University

  Language:TeX4.7k896781.1k

• huawei-noah/Efficient-AI-Backbones

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

  Language:Python4.1k53275713

• yanx27/Pointnet_Pointnet2_pytorch

  PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

  Language:Python3.9k18271921

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

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

  Language:Python3.7k65140477

• tensorlayer/SRGAN

  Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

  Language:Python3.4k96251813

• isl-org/ZoeDepth

  Metric depth estimation from a single image

  Language:Jupyter Notebook2.5k35120225

• dome272/Diffusion-Models-pytorch

  Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

  Language:Python1.2k1043284

• guochengqian/PointNeXt

  [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

  Language:Shell83714149124

• qinzheng93/GeoTransformer

  [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

  Language:Python7151012076

• alterzero/DBPN-Pytorch

  The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

  Language:Python5711661165

• pliang279/MultiBench

  [NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

  Language:HTML514153675

• aliyun/NeWCRFs

  Language:Python38175047

• guochengqian/openpoints

  OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)

  Language:Python3249048

• CMU-MultiComp-Lab/CMU-MultimodalSDK

  Language:Python21251825

• dongguanting/In-Context-Learning_PaperList

  Paper List for In-context Learning 🌷

  1754015

• MendelXu/zsseg.baseline

  Open-vocabulary Semantic Segmentation

  Language:Python16853016

• OpenRobotLab/OV_PARTS

  [NeurIPS 2023] OV-PARTS: Towards Open-Vocabulary Part Segmentation

  Language:Python764157

• yzdad/D-GLSNet

  The code of Geo-localization with Transformer-based 2D-3D match Network

  Language:Python41566

• gfmei/ogmm

  Overlap-guided Gaussian Mixture Models for Point Cloud Registration

  Language:Python38366

• tudelft-iv/SliceMatch

  Cross-View Camera Pose Estimation [CVPR'23]

  Language:Python37724

• iMoonLab/HGM2R

  Source code for IEEE TPAMI 2024 "Hypergraph-Based Multi-Modal Representation for Open-Set 3D Object Retrieval"

  Language:Python30320

• iMoonLab/LightHGNN

  Source code for ICLR 2024 "LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference"

  Language:Python26312

• iMoonLab/HIC

  Source code of IEEE TPAMI 2024 "Hypergraph Isomorphism Computation"

  Language:Python24300

• iMoonLab/LLM4Hypergraph

  The source code of ICLR 2025 "Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?"

  Language:Python20301

• mvp18/UCDR

  [ICCV 2021] PyTorch implementation of "Universal Cross-Domain Retrieval: Generalizing across Classes and Domains"

  Language:Python9113

• yifanfeng97/multi-modal-generation-for-shrec22

  Multi-modal data generation for 3D objects.

  Language:Python7210

• Cervest/ds-generative-reflectance-fusion

  Surface Reflectance Fusion with Deep Generative Models

  Language:Python5512

• up-up-up-up/zed-v4

  Language:Python51

• wangxu-scu/CoDA

  PyTorch implementation for Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval (AAAI 2023)

  Language:Python5201