TSAIL group
Tsinghua Statistical Artificial Intelligence & Learning Group
Consolidated Product Portfolio
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
TurboDiffusion: video generation acceleration framework that could accelerate end-to-end video generation by 100-205x with negligible video quality loss.
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023
Official implementation for "ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing"
[ECCV 2024] Single Image to 3D Textured Mesh in 10 seconds with Convolutional Reconstruction Model.
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention
Official code of Motus: A Unified Latent Action World Model
Official implementation for "RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers" (ICML 2025) , UltraViCo (ICLR 2026) and UltraImage
[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)
Company Profile & Strategy
Tsinghua Statistical Artificial Intelligence & Learning Group. TSAIL group maintains 10 open-source projects on GitHub, including SageAttention, TurboDiffusion and Motus. Primary languages: Cuda, Python.
Open-Source Footprint
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