Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation
Paper • 2609.11638 • Published • 694
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aaa-ceku7
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jt-zhang
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aaa-ceku7
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Vidu S1: A Real-Time Interactive Video Generation Model
Paper • 2607.03118 • Published • 149
TurboServe: Serving Streaming Video Generation Efficiently and Economically
Paper • 2606.19271 • Published • 35
SageBwd: A Trainable Low-bit Attention
Paper • 2603.02170 • Published • 19
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
Paper • 2602.13515 • Published • 45
SLA2: Sparse-Linear Attention with Learnable Routing and QAT
Paper • 2602.12675 • Published • 59
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times
Paper • 2512.16093 • Published • 96
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention
Paper • 2509.24006 • Published • 119
DiffusionNFT: Online Diffusion Reinforcement with Forward Process
Paper • 2509.16117 • Published • 24
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training
Paper • 2505.11594 • Published • 77
Visual Generation Without Guidance
Paper • 2501.15420 • Published • 8
jt-zhang
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jt-zhang
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jt-zhang
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worstcoder
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jt-zhang
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