collaborators

12 papers

cs.AI2026

Open Evaluation Agent: Efficient and Promptable Evaluation of Visual Generative Models

Shulin Tian, Ziqi Huang, Fan Zhang +3

Recent advances in visual generative models have enabled high-quality image and video generation, but evaluating these models often demands sampling hundreds or thousands of images…

cs.CV2026

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation

Haoyue Tan, Shengnan Wang, Yulin Qiao +5

Video diffusion transformers (DiTs) suffer from prohibitive inference latency due to quadratic attention complexity. Existing sparse attention methods either overlook semantic simi…

cs.CV2026

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 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

DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes

Hengwei Bian, Lingdong Kong, Haozhe Xie +3

Urban scene generation has been developing rapidly recently. However, existing methods primarily focus on generating static and single-frame scenes, overlooking the inherently dyna…

cs.CV2025

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…