Stars
No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
DepthSplat: Connecting Gaussian Splatting and Depth
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
The official PyTorch implementation of Google's Gemma models
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
[3DV 2024] FastHuman: Reconstructing High-Quality Clothed Human in Minutes.
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance (ICCV2023)
A collection of resources and papers on Diffusion Models
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"
Segment-Anything + 3D. Let's lift anything to 3D.
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
This repo includes ChatGPT prompt curation to use ChatGPT better.
Code for our CVPR'23 paper - "PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices"
A toolbox for mapping and localization with line features.
Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!
GP-NeRF: Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features
A Unified Framework for Surface Reconstruction
[CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration
Polynomial Neural Fields for Subband Decomposition and Manipulation
A lightweight and responsive website template that automatically crawls papers and talks from bibtex files
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
This repository contains utility scripts for the KITTI-360 dataset.