5 papers
Chorus II: Cross-Request Sparsity Reuse for Efficient Image-to-Video Generation
Hao Liu, Chenghuan Huang, Xing Cai +5
Serving diffusion models for image-to-video generation is computationally expensive, posing significant challenges for large-scale deployment. Real I2V workloads often contain simi…
Reinforce to Learn, Elect to Reason: A Dual Paradigm for Video Reasoning
Songyuan Yang, Weijiang Yu, Jilin Ma +5
Video reasoning has advanced with large multimodal models (LMMs), yet their inference is often a single pass that returns an answer without verifying whether the reasoning is evide…
Graph-to-Frame RAG: Visual-Space Knowledge Fusion for Training-Free and Auditable Video Reasoning
Songyuan Yang, Weijiang Yu, Ziyu Liu +4
When video reasoning requires external knowledge, many systems with large multimodal models (LMMs) adopt retrieval augmentation to supply the missing context. Appending textual or…
Adaptive Hybrid Caching for Efficient Text-to-Video Diffusion Model Acceleration
Yuanxin Wei, Lansong Diao, Bujiao Chen +6
Efficient video generation models are increasingly vital for multimedia synthetic content generation. Leveraging the Transformer architecture and the diffusion process, video DiT m…
AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts
Yingpeng Wen, Weijiang Yu, Fudan Zheng +2
Previous post-processing studies on rainfall forecasts using numerical weather prediction (NWP) mainly focus on statistics-based aspects, while learning-based aspects are rarely in…