[CVPR 2025] VideoWorld is a simple generative model that learns purely from unlabeled videos—much like how babies learn by observing their environment

[CVPR 2025] Official PyTorch implementation of Rectified Diffusion Guidance for Conditional Generation

Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"

Exploring Applications of GRPO

Fully open reproduction of DeepSeek-R1

Code for the Molmo Vision-Language Model

Official code implementation of Slow Perception:Let's Perceive Geometric Figures Step-by-step

PyTorch code and models for the DINOv2 self-supervised learning method.

Official implementation of "Shape Anchor Guided Holistic Indoor Scene Understanding"

[CVPR'25] Official Implementations for Paper - MagicQuill: An Intelligent Interactive Image Editing System

Public code release associated with SceneScript.

(CVPR 2025) The Scene Language: Representing Scenes with Programs, Words, and Embeddings

A lightweight library for portable low-level GPU computation using WebGPU.

[ICML 2024] Official PyTorch implementation of SMaRt: Improving GANs with Score Matching Regularity

🏠[ECCV 2024] GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting

A template to easily generate resume.

Ongoing research training gaussian splatting at scale by distributed system

KAN-based NeRF

[CVPR 2024] Shadows Don’t Lie and Lines Can’t Bend! Generative Models don’t know Projective Geometry...for now

A repository for paper "Efficient Solution of Point-Line Absolute Pose" by P.Hruby, T.Duff, and M. Pollefeys, presented at CVPR 2024.

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

Render Gaussian Splats using Metal on Apple platforms (iOS/iPhone/iPad, macOS, and visionOS)

[ICML2024] Official code for GaussianPro: 3D Gaussian Splatting with Progressive Propagation

GIFT: Generative Interpretable Fine-Tuning

Official implementation of paper "Stratified Avatar Generation from Sparse Observations"