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Starred repositories
A digital museum of video game levels
Scenic: A Jax Library for Computer Vision Research and Beyond
Public code for XFactor: Introduces the first geometry-free model to achieve true self-supervised / pose-free Novel View Synthesis (NVS) by learning transferable latent camera pose representations.
Astro template to help you build an interactive project page for your research paper
Lets make video diffusion practical!
Stable Virtual Camera: Generative View Synthesis with Diffusion Models
ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"
4gatepylon / sft-vrum
Forked from sundai-research/sft-vrumSonic the Hedgehog was here
[NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"
[CVPR 2025] Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering
Fourier Transform and Representation Theory
Coauthor supercollaboration/discussion forum
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
A modern simfile parsing & editing library for Python 3
A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer
A Modular Framework for 3D Gaussian Splatting and Beyond
Model-based design and verification for robotics.
MIDI / symbolic music tokenizers for Deep Learning models 🎶
Photo-realistic mapping of dynamic urban areas
An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
Acceptance rates for the major AI conferences
DUSt3R + Gaussian Splatting
[3DV 2025] Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann
A modular differential gaussian rasterization library.
A collection of learning resources for curious software engineers
