camtrik

camtrik's Stars

• julienkay/MobileNeRF-Unity-Viewer

  An unofficial Unity port of the MobileNeRF viewer

  Language:C#39443

• pdaicode/awesome-3dgs

  A curried list of recent literature of 3D Gaussians

  Language:Jupyter Notebook794

• zju3dv/4K4D

  [CVPR 2024] 4K4D: Real-Time 4D View Synthesis at 4K Resolution

  Language:Python1.6k67

• 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.

  5.8k331

• fudan-zvg/4d-gaussian-splatting

  [ICLR 2024] Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting

  Language:Python57240

• hustvl/4DGaussians

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

  Language:Jupyter Notebook2.1k171

• zju3dv/im4d

  SIGGRAPH Asia 2023: Code for "Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes"

  Language:Python23812

• JonathonLuiten/Dynamic3DGaussians

  Language:Python1.9k117

• dreamgaussian/dreamgaussian

  [ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation

  Language:Python3.9k348

• graphdeco-inria/gaussian-splatting

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

  Language:Python13.9k1.8k

• Caoang327/HexPlane

  Official code for CVPR 2023 Paper, HexPlane: A Fast Representation for Dynamic Scenes

  Language:Python26026

• limacv/VideoLoop3D

  Code for CVPR2023: 3D Video Loops from Asynchronous Input

  Language:Python616

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python9.3k1.3k

• ljwztc/CLIP-Driven-Universal-Model

  [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

  Language:Python56567

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.8k2.6k

• aras-p/UnityGaussianSplatting

  Toy Gaussian Splatting visualization in Unity

  Language:C#2.1k239

• NVIDIA/TensorRT

  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

  Language:C++10.6k2.1k

• maggiez0138/Swin-Transformer-TensorRT

  This project aims to explore the deployment of Swin-Transformer based on TensorRT, including the test results of FP16 and INT8.

  Language:Python16129

• isl-org/MiDaS

  Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

  Language:Python4.4k619

• isl-org/ZoeDepth

  Metric depth estimation from a single image

  Language:Jupyter Notebook2.3k210

• xxlong0/SparseNeuS

  SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse views

  Language:Python32516

• guochengqian/Magic123

  [ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

  Language:Jupyter Notebook1.5k95

• thorikawa/One-2-3-45

  official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

  Language:Python11

• miloyip/game-programmer

  A Study Path for Game Programmer

  Language:Python17.6k2.1k

• One-2-3-45/One-2-3-45

  [NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

  Language:Python1.5k82

• junshutang/Make-It-3D

  [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

  Language:Python1.8k117

• Anything-of-anything/Anything-3D

  Segment-Anything + 3D. Let's lift anything to 3D.

  Language:Python1.5k75

• cvlab-columbia/zero123

  Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

  Language:Python2.7k191

• ashawkey/stable-dreamfusion

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

  Language:Python8.2k721

• threestudio-project/threestudio

  A unified framework for 3D content generation.

  Language:Python6.2k474