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20242026
most citedFasterCache: Training-Free Video Diffusion Model Acceleration with High Quality

1 citations · 3 across the 13 of their papers we have counts for

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cs.CV2025

LongVie 2: Multimodal Controllable Ultra-Long Video World Model

Jianxiong Gao, Zhaoxi Chen, Xian Liu +7

Building video world models upon pretrained video generation systems represents an important yet challenging step toward general spatiotemporal intelligence. A world model should p…

cs.CV2025

Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark

Kai Zou, Ziqi Huang, Yuhao Dong +7

Unified multimodal models aim to jointly enable visual understanding and generation, yet current benchmarks rarely examine their true integration. Existing evaluations either treat…

cs.CV2025

LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation

Jianxiong Gao, Zhaoxi Chen, Xian Liu +5

Controllable ultra-long video generation is a fundamental yet challenging task. Although existing methods are effective for short clips, they struggle to scale due to issues such a…

cs.CV2025

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation

Zhengyao Lv, Chenyang Si, Tianlin Pan +4

Diffusion Models have achieved remarkable results in video synthesis but require iterative denoising steps, leading to substantial computational overhead. Consistency Models have m…

cs.CV2025★ 1 cited

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Dian Zheng, Ziqi Huang, Hongbo Liu +9

Video generation has advanced significantly, evolving from producing unrealistic outputs to generating videos that appear visually convincing and temporally coherent. To evaluate t…

cs.CV2025

RepVideo: Rethinking Cross-Layer Representation for Video Generation

Chenyang Si, Weichen Fan, Zhengyao Lv +3

Video generation has achieved remarkable progress with the introduction of diffusion models, which have significantly improved the quality of generated videos. However, recent rese…

cs.CV2025★ 1 cited

Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

Weichen Fan, Chenyang Si, Junhao Song +16

We present Vchitect-2.0, a parallel transformer architecture designed to scale up video diffusion models for large-scale text-to-video generation. The overall Vchitect-2.0 system h…