Xiao Fu (fuxiao0719)

fuxiao0719

Geek Repo

Company:Shanghai AI Lab

Location:Hong Kong

Home Page:http://fuxiao0719.github.io/

Twitter:@lemonaddie0909

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Xiao Fu's starred repositories

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

Language:HTMLLicense:CC0-1.0Stargazers:107014Issues:1387Issues:0

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:45487Issues:303Issues:658

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

Language:PythonLicense:NOASSERTIONStargazers:35568Issues:1003Issues:186

generative-models

Generative Models by Stability AI

Language:PythonLicense:MITStargazers:23275Issues:249Issues:277

gaussian-splatting

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

Language:PythonLicense:NOASSERTIONStargazers:12579Issues:110Issues:816

threestudio

A unified framework for 3D content generation.

Language:PythonLicense:Apache-2.0Stargazers:5926Issues:82Issues:314

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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.

CoDeF

[CVPR 2024 Highlight] Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing

Language:PythonLicense:NOASSERTIONStargazers:4790Issues:73Issues:79

dreamgaussian

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

Language:PythonLicense:MITStargazers:3783Issues:46Issues:142

Awesome-Video-Diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

InternLM-XComposer

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Awesome-Anything

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

Anything-3D

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

Language:PythonLicense:MITStargazers:1516Issues:35Issues:15

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:PythonLicense:Apache-2.0Stargazers:1496Issues:73Issues:46

prolificdreamer

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

Language:PythonLicense:Apache-2.0Stargazers:1432Issues:113Issues:22

text2room

Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models (ICCV2023).

Language:PythonLicense:MITStargazers:993Issues:10Issues:31

SyncDreamer

[ICLR 2024 Spotlight] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Language:PythonLicense:MITStargazers:839Issues:22Issues:65

meshgpt-pytorch

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch

Language:PythonLicense:MITStargazers:651Issues:18Issues:68

EasyVolcap

[SIGGRAPH Asia 2023 (Technical Communications)] EasyVolcap: Accelerating Neural Volumetric Video Research

Language:PythonLicense:NOASSERTIONStargazers:582Issues:19Issues:29

monosdf

[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Language:PythonLicense:MITStargazers:548Issues:33Issues:96

Awesome-Text-to-3D

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

OmniObject3D

[ CVPR 2023 Award Candidate ] OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

Awesome-CAD

😎 A list of awesome Computer-Aided Design (CAD) papers

STA

Code for Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation (ICCV 2023)

Language:PythonLicense:BSD-2-ClauseStargazers:20Issues:2Issues:2

Patch-Grid

Code for "Patch-Grid: An Efficient and Feature-Preserving Neural Implicit Surface Representation"