AnderDong

AnderDong's Stars

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda15.9k2041k1.9k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook14.8k1103941.4k

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python14.1k1189481.8k

• magic-research/magic-animate

  [CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

  Language:Python10.4k1041461.1k

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python9.4k1171.6k1.3k

• MrNeRF/awesome-3D-gaussian-splatting

  Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

  5.9k26353341

• VAST-AI-Research/TripoSR

  Language:Python4.4k4999509

• NVlabs/neuralangelo

  Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

  Language:Python4.4k61203388

• tickstep/aliyunpan

  阿里云盘命令行客户端，支持JavaScript插件，支持同步备份功能。

  Language:Go4.1k35440351

• NVlabs/eg3d

  Language:Python3.2k157113358

• hustvl/4DGaussians

  [CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

  Language:Jupyter Notebook2.1k35167175

• hbb1/2d-gaussian-splatting

  [SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

  Language:Python2k35146129

• autonomousvision/sdfstudio

  A Unified Framework for Surface Reconstruction

  Language:Python2k31274183

• JonathonLuiten/Dynamic3DGaussians

  Language:Python1.9k9239119

• YuliangXiu/ICON

  [CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

  Language:Python1.6k42236218

• jsksxs360/How-to-use-Transformers

  Transformers 库快速入门教程

  Language:Python1k920134

• ingra14m/Deformable-3D-Gaussians

  [CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"

  Language:Python894157652

• chenhsuanlin/bundle-adjusting-NeRF

  BARF: Bundle-Adjusting Neural Radiance Fields 🤮 (ICCV 2021 oral)

  Language:Python7861283114

• aipixel/GPS-Gaussian

  [CVPR 2024 Highlight] The official repo for “GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis”

  Language:Python502276730

• aipixel/GaussianAvatar

  [CVPR 2024] The official repo for "GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians"

  Language:Python419175130

• skhu101/GauHuman

  Code for our CVPR'2024 paper "GauHuman: Articulated Gaussian Splatting from Monocular Human Videos"

  Language:Python325124827

• mikeqzy/3dgs-avatar-release

  3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting

  Language:Python317152830

• JiahuiLei/GART

  GART: Gaussian Articulated Template Models

  Language:Python257102115

• computational-imaging/GSM

  Gaussian Shell Maps for Efficient 3D Human Generation (CVPR 2024)

  Language:Jupyter Notebook19821610

• ymcui/LERT

  LERT: A Linguistically-motivated Pre-trained Language Model（语言学信息增强的预训练模型LERT）

  Language:Python1973615

• Daisyqk/Automatic-Prosody-Annotation

  Language:Python1113552

• raven38/EfficientDynamic3DGaussian

  This repository contains the code for the paper An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes https://arxiv.org/abs/2311.12897

  Language:Python744115

• YifYang993/CR-NeRF-PyTorch

  Official PyTorch Implementation of ICCV 2023 Oral -Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections

  Language:Python59686

• ZSHsh98/MMD-MP

  This is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR2024).

  Language:Python40122

• YifYang993/HiLo

  Official repository for CVPR2024 paper "HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models"

  Language:Python35401