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End2End Multi-View Feature Matching with Differentiable Pose Optimization
Panoramic localization library containing PyTorch implementations of various panoramic localization algorithms including PICCOLO (ICCV 2021), CPO (ECCV 2022), LDL (ICCV 2023) and FGPL (CVPR 2024).
[ICLR 2025] Official Implementation of M3: 3D-Spatial Multimodal Memory
Dereflection Any Image with Diffusion Priors and Diversified Data
Code for "Multi-view Reconstruction via SfM-guided Monocular Depth Estimation". CVPR 2025 (Oral Presentation)
[CVPR 2025 Oral] VGGT: Visual Geometry Grounded Transformer
[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
[CVPR 2025 Highlight] 3DTopia-XL: High-Quality 3D PBR Asset Generation via Primitive Diffusion
An extremely fast Python linter and code formatter, written in Rust.
Official inference repo for FLUX.1 models
[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
A massively parallel, high-level programming language
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Plenoxels: Radiance Fields without Neural Networks
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.
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
[CVPR 2023] RoomFormer: Two-level Queries for Single-stage Floorplan Reconstruction
PyTorch implementation of our IJCV paper: "Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods"
CVPR 2021 Oral paper "LED2-Net: Monocular 360˚ Layout Estimation via Differentiable Depth Rendering" official PyTorch implementation.
SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)
Bootstrap Kubernetes the hard way. No scripts.