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Nanjing University
- https://linyou.github.io
- @linyoutian2
Highlights
- Pro
Stars
Infinite Worlds with Versatile Interactions
Benchmarking MLLMs for Parametric 3D Generation and Structural Reasoning (Text-to-3D, Image-to-3D, Assembly-3D)
A feed-forward 3D foundation model for reconstructing scenes from streaming data
CADAM is the open source text-to-CAD web application
[NeurIPS 2025] Direct3D‑S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
High-Fidelity 3D Shape Generation via Scalable Geometric Refinement
Sharp Monocular View Synthesis in Less Than a Second
A self-hosted cross-platform 3DAIGC software. Working with 3DAIGC algorithms completely deployed locally. Supported 3D workflows include MeshGen, Mesh Retopology, UV Unwrapping, TexGen, MeshSeg, Au…
Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Native and Compact Structured Latents for 3D Generation
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
Code for "FlashWorld: High-quality 3D Scene Generation within Seconds" (ICLR 2026 Oral)
MotionStream: Real-Time Video Generation with Interactive Motion Controls
[CVPR 2026 (Oral)] Official Torch/CUDA Implementation of Faithful Contouring
Industry-level video foundation model for unified Text-to-Video (T2V) and Image-to-Video (I2V) generation.
EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory
(NeurIPS 2024 Oral 🔥) Improved Distribution Matching Distillation for Fast Image Synthesis
SOTAMak1r / Infinite-Forcing
Forked from guandeh17/Self-ForcingInfinite-Forcing: Towards Infinite-Long Video Generation
[CVPR 2026 Highlight🎉] Official implementation of WorldForge
🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
A unified inference and post-training framework for accelerated video generation.