ruining tang's starred repositories

segment-anything

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:44200Issues:295Issues:634

lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

Language:PythonLicense:Apache-2.0Stargazers:25266Issues:244Issues:6609

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

Language:PythonLicense:Apache-2.0Stargazers:22663Issues:184Issues:3521

shap-e

Generate 3D objects conditioned on text or images

Language:PythonLicense:MITStargazers:11318Issues:236Issues:108

FastSAM

Fast Segment Anything

Language:PythonLicense:AGPL-3.0Stargazers:6864Issues:55Issues:180

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:PythonLicense:MITStargazers:4105Issues:72Issues:237
Language:PythonLicense:NOASSERTIONStargazers:3127Issues:161Issues:111

zero123

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

Language:PythonLicense:MITStargazers:2493Issues:42Issues:119

awesome-implicit-representations

A curated list of resources on implicit neural representations.

License:MITStargazers:2347Issues:112Issues:0

Make-It-3D

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

Language:PythonStargazers:1691Issues:138Issues:0

Magic123

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1458Issues:55Issues:49

nvdiffrast

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

Language:C++License:NOASSERTIONStargazers:1207Issues:26Issues:174

awesome-3d-reconstruction-papers

A collection of 3D reconstruction papers in the deep learning era.

lerf

Code for LERF: Language Embedded Radiance Fields

Language:PythonLicense:MITStargazers:600Issues:14Issues:53

realfusion

Official code for "RealFusion: 360° Reconstruction of Any Object from a Single Image" (CVPR 2023)

Text2Tex

[ICCV 2023] Text2Tex: Text-driven Texture Synthesis via Diffusion Models

Language:PythonLicense:NOASSERTIONStargazers:508Issues:39Issues:27

ELITE

ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation (ICCV 2023, Oral)

Language:PythonLicense:Apache-2.0Stargazers:480Issues:47Issues:18

MVDiffusion

MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, NeurIPS 2023 (spotlight)

Tri-MipRF

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields, ICCV'23 (Oral, Best Paper Finalist)

SSDNeRF

[ICCV 2023] Single-Stage Diffusion NeRF

Language:PythonLicense:MITStargazers:414Issues:18Issues:37

CValues

面向中文大模型价值观的评估与对齐研究

Language:PythonLicense:Apache-2.0Stargazers:414Issues:1Issues:7

Awesome-Text-to-3D

A growing curation of Text-to-3D, Diffusion-to-3D works.

sparsefusion

[CVPR 2023] SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

NeuralLift-360

[CVPR 2023, Highlight] "NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang

unmasked_teacher

[ICCV2023 Oral] Unmasked Teacher: Towards Training-Efficient Video Foundation Models

Language:PythonLicense:MITStargazers:244Issues:14Issues:35

FocusOnDepth

A Monocular depth-estimation for in-the-wild AutoFocus application.

Language:PythonLicense:MITStargazers:131Issues:6Issues:25

prolific_dreamer2d

Unofficial implementation of 2D ProlificDreamer

Hi3D

From Geometry to Texture: A Hierarchical Framework for Efficient Text-to-3D Generation