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Open source impl of **MV-DUSt3R+ Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds** from Meta Reality Labs. Project page https//mv-dust3rp.github.io/
[Sigasia 2024] Manifold Sampling for Differentiable Uncertainty in Radiance Fields
[CVPR'24] DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
These scripts are used to download RealEstate10K dataset.
Replace 'hub' with 'diagram' in any GitHub url to instantly visualize the codebase as an interactive diagram
A generative world for general-purpose robotics & embodied AI learning.
Official repository for "AM-RADIO: Reduce All Domains Into One"
[NeurIPS'24] ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model
[ECCV'24] On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
☄️ AirPods desktop user experience enhancement program, for Windows and Linux (WIP)
how to optimize some algorithm in cuda.
This is a collective repository for all 3DGS related progresses in research and industry world
HunyuanVideo: A Systematic Framework For Large Video Generation Model
25 days, 25 languages; my solutions to Advent of Code 2024.
A VR viewer for gaussian splatting models developped as native plugin for unity with the original CUDA rasterizer.
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
D2 is a modern diagram scripting language that turns text to diagrams.
🏠 [ECCV 2024] Pytorch implementation of 'HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression'
Official code of "Fully Explicit Dynamic Gaussian Splatting (NeurIPS 2024)"
"Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models", Hanwen Liang*, Yuyang Yin*, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, …
[NeurIPS 2024 Spotlight]"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"
The code for the paper "Reducing the Memory Footprint of 3D Gaussian Splatting"