CUDA accelerated rasterization of gaussian splatting
NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos
[ICLR 2026] Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation
Lightning fast differentiable SSIM.
Causal depthwise conv1d in CUDA, with a PyTorch interface
A powerful framework for building realtime voice AI agents 🤖🎙️📹
End-to-end realtime stack for connecting humans and AI
动手学CS146S中文版课程，包含assignments，vibe coding工具等，本项目将长期持续维护，致力于打造中文最好的vibe coding教程。
[ECCV 2024] GenAD: Generative End-to-End Autonomous Driving
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Code and pretrained models for paper "REGEN: Real-Time Photorealism Enhancement in Games via a Dual-Stage Generative Network Framework"
Fast and Universal 3D reconstruction model for versatile tasks
Seamless operability between C++11 and Python
[SIGGRAPH Asia 2025 - TOG] Official implementation of MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
File format for 3D Gaussian splats. About 10x smaller than the PLY equivalent with virtually no perceptible loss in visual quality. Offered as open source by Niantic Labs. More details at https://scaniverse.com/spz #3dgaussiansplats #gaussiansplatting
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
