haofeixu

haofeixu's Stars

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.3k6495714

• autonomousvision/sdfstudio

  A Unified Framework for Surface Reconstruction

  Language:Python2k32274188

• MasterBin-IIAU/UNINEXT

  [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

  Language:Python1.5k10157158

• autonomousvision/unimatch

  [TPAMI'23] Unifying Flow, Stereo and Depth Estimation

  Language:Python1.1k1761117

• donydchen/mvsplat

  🌊 [ECCV'24 Oral] MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

  Language:Python883197642

• haofeixu/gmflow

  [CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching

  Language:Python656174251

• USTC3DV/NDR-code

  【NeurIPS 2022 Spotlight】Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera

  Language:Python517111559

• jby1993/SelfReconCode

  This repository contains a pytorch implementation of "SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video (CVPR 2022, Oral)".

  Language:Python406214645

• autonomousvision/LaRa

  [ECCV 2024] Efficient Large-Baseline Radiance Fields, a feed-forward 2DGS model

  Language:Python287121613

• ziplab/LITv2

  [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"

  Language:Python25781714

• YihangChen-ee/HAC

  :house: [ECCV 2024] Pytorch implementation of 'HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression'

  Language:Python25071717

• QianyiWu/objsdf

  :t-rex: [ECCV‘22] Pytorch implementation of 'Object-Compositional Neural Implicit Surfaces'

  Language:Python1877145

• clin1223/VLDet

  [ICLR 2023] PyTorch implementation of VLDet （https://arxiv.org/abs/2211.14843）

  Language:Python18351811

• donydchen/matchnerf

  🖨️[arXiv'23] Official PyTorch Implementation of MatchNeRF

  Language:Python171955

• eldar/flash3d

  Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image

  Language:Python16061612

• ViTAE-Transformer/ViTAE-VSA

  The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers"

  Language:Python157299

• QianyiWu/objectsdf_plus

  :first_quarter_moon: [ICCV'23] Pytorch implementation of "ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces"

  Language:Python1456135

• lyndonzheng/Free3D

  [CVPR'24] Consistent Novel View Synthesis without 3D Representation

  Language:Python1431674

• ycwu1997/MC-Net

  Official Code for our MedIA paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation" (ESI Highly Cited Paper)

  Language:Python13941712

• Wuuu3511/GoMVS

  [CVPR'24]🦿GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo

  Language:Python1267184

• donydchen/sem2nerf

  👩🏼‍🦰😺[ECCV'22] Official PyTorch Implementation of Sem2NeRF: Converting Single-View Semantic Masks to NeRFs

  Language:Python125648

• ziplab/Mesa

  This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".

  Language:Python118538

• autonomousvision/murf

  [CVPR'24] MuRF: Multi-Baseline Radiance Fields

  Language:Python112767

• haofeixu/flow1d

  [ICCV'21 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

  Language:Python1091457

• ycwu1997/SS-Net

  Official Code for our MICCAI 2022 paper "Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation"

  Language:Python108427

• ziplab/EcoFormer

  [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"

  Language:Python68511

• QianyiWu/GSRec

  :arrows_counterclockwise: [ECCV‘24] Pytorch implementation of 'Surface Reconstruction from 3D Gaussian Splatting via Local Structural Hints'

  Language:Python63511

• QianyiWu/Awesome-Object-Compositional-INR

  :book: A collection of object-compositional modeling by implicit neural representation.

  56701

• aim-uofa/GenDeF

  3840

• wu-zhonghua/DAT

  Language:Python17221