Stars
DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端
A Modular Framework for 3D Gaussian Splatting and Beyond
The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .
This repository is the official implementation for the paper “REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices”.
[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
A procedural Blender pipeline for photorealistic training image generation
[ECCV'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
odeke-em / drive
Forked from rakyll/driveGoogle Drive client for the commandline
A collection of papers on neural field-based inverse rendering.
An example use of the openmaterial dataset
Live Demo：https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!
Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.
Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Stable Video Diffusion Training Code and Extensions.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Generative Models by Stability AI