most citedTowards A Better Metric for Text-to-Video Generation

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DS2026

Workload-Aware Autotuning of Block Size in Square-Root Decomposition

Ruize Zhao

The textbook choice B=sqrt(n) for square-root decomposition is asymptotically natural, but it is not always the fastest implementation choice. We study block-size autotuning as a r…

cs.CL2026

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition

PSBC LLM Team, Huawei LLM Team, Ruihan Long +56

Large language models (LLMs) drive significant financial innovations, yet their high-concurrency deployment is severely bottlenecked by KV cache memory overhead, which inflates inf…

cs.CV2026

Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation?

Rui Zhao, Kaiming Yang, Jifeng Zhu +6

Video generation models have made impressive strides in synthesizing visually compelling content, yet their outputs remain confined to the virtual domain. A natural question follow…

cs.CV2024

DragAnything: Motion Control for Anything using Entity Representation

Weijia Wu, Zhuang Li, Yuchao Gu +7

We introduce DragAnything, which utilizes a entity representation to achieve motion control for any object in controllable video generation. Comparison to existing motion control m…

cs.CV2024★ 2 cited

Towards A Better Metric for Text-to-Video Generation

Jay Zhangjie Wu, Guian Fang, Haoning Wu +11

Generative models have demonstrated remarkable capability in synthesizing high-quality text, images, and videos. For video generation, contemporary text-to-video models exhibit imp…