Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation Paper • 2609.11638 • Published 6 days ago • 382
Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation Paper • 2609.11638 • Published 6 days ago • 382
TurboServe: Serving Streaming Video Generation Efficiently and Economically Paper • 2606.19271 • Published Jun 17 • 39
TurboServe: Serving Streaming Video Generation Efficiently and Economically Paper • 2606.19271 • Published Jun 17 • 39
KernelBench-X: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels Paper • 2605.04956 • Published May 6 • 8
KernelBench-X: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels Paper • 2605.04956 • Published May 6 • 8
6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models Paper • 2603.18742 • Published Mar 19 • 11
6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models Paper • 2603.18742 • Published Mar 19 • 11
HybridStitch: Pixel and Timestep Level Model Stitching for Diffusion Acceleration Paper • 2603.07815 • Published Mar 8 • 10
HybridStitch: Pixel and Timestep Level Model Stitching for Diffusion Acceleration Paper • 2603.07815 • Published Mar 8 • 10
SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing Paper • 2603.08982 • Published Mar 9 • 16
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning Paper • 2602.13515 • Published Feb 13 • 45
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning Paper • 2602.13515 • Published Feb 13 • 45
SLA2: Sparse-Linear Attention with Learnable Routing and QAT Paper • 2602.12675 • Published Feb 13 • 59