zhuxing0

zhuxing0's Stars

• ashawkey/stable-dreamfusion

  Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

  Language:Python8.1k719

• google-research/multinerf

  A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

  Language:Python3.6k340

• waymo-research/waymax

  A JAX-based simulator for autonomous driving research.

  Language:Python81587

• NVlabs/Hydra-MDP

  2129

• jkulhanek/wild-gaussians

  WildGaussians: 3D Gaussian Splatting In the Wild

  Language:Python23220

• donydchen/mvsplat

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

  Language:Python66629

• nianticlabs/mickey

  [CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

  Language:Python41722

• megvii-research/CREStereo

  Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

  Language:Python47559

• nianticlabs/acezero

  [ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.

  Language:Python55334

• pointrix-project/pointrix

  A differentiable point-based rendering framework.

  Language:Python1141

• facebookresearch/segment-anything-2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook9.9k725

• zju3dv/PGSR

  code for "PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction"

  Language:Python37119

• nyu-systems/Grendel-GS

  Ongoing research training gaussian splatting at scale by distributed system

  Language:Python30314

• fabiotosi92/Awesome-Deep-Stereo-Matching

  A curated list of awesome Deep Stereo Matching resources

  Language:TeX1788

• sunshineatnoon/LinearStyleTransfer

  This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).

  Language:Python38186

• aeolusguan/NMRF

  [CVPR 2024] Neural Markov Random Field for Stereo Matching

  Language:Python784

• facebookresearch/dynamic_stereo

  [CVPR 2023] DynamicStereo: Consistent Dynamic Depth from Stereo Videos.

  Language:Jupyter Notebook1627

• TomTomTommi/bidastereo

  [ECCV 2024] Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching.

  Language:Python829

• YufeiWang777/LRRU

  Official implementation of ``LRRU: Long-short Range Recurrent Updating Networks for Depth Completion'', ICCV 2023.

  Language:Python793

• prs-eth/Marigold

  [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

  Language:Python2.1k112

• paul0noah/spider-match

  🕷️ SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency

  Language:Python634

• youmi-zym/CompletionFormer

  [CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers

  Language:Python21420

• wvangansbeke/Sparse-Depth-Completion

  Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

  Language:Python47378

• taichi-dev/taichi

  Productive, portable, and performant GPU programming in Python.

  Language:C++25.3k2.3k

• wyf0912/SinSR

  [CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step

  Language:Python2369

• pengsida/learning_research

  本人的科研经验

  5.2k321

• autonomousvision/mip-splatting

  [CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting

  Language:Python99363

• billryan/resume

  An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

  Language:TeX9.1k2.6k

• DepthAnything/Depth-Anything-V2

  Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python3.1k235

• BaowenZ/RaDe-GS

  RaDe-GS: Rasterizing Depth in Gaussian Splatting

  Language:C++43022