activity
20242026
collaborators

14 papers

cs.CV2026

Stable Curves, Unstable Items: Item-Level Scaling Heterogeneity in Video LLMs

Wenzhang Sun, Chunfeng Wang, Xiangchen Yin +3

Aggregate scaling curves suggest that Video LLMs improve smoothly or saturate as visual budgets grow. We show that this view can conceal large, opposing changes at the item level.…

cs.CV2026

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources

Baorui Ma, Jiahui Yang, Donglin Di +5

Scaling has powered recent advances in vision foundation models, yet extending this paradigm to metric depth estimation remains challenging due to heterogeneous sensor noise, camer…

cs.CV2026

Echo4DIR: 4D Implicit Heart Reconstruction from 2D Echocardiography Videos

Yanan Liu, Qinya Li, Hao Zhang +5

Reconstructing 4D (3D+t) cardiac geometry from sparse 2D echocardiography is highly desirable yet fundamentally challenged by geometric ambiguity and temporal discontinuity. To tac…

cs.CV2026

RePCM: Region-Specific and Phenotype-Adaptive Bi-Ventricular Cardiac Motion Synthesis

Xuan Yang, Xiaohan Yuan, Hao Li +3

Cardiac motion over a cardiac cycle is crucial for quantifying regional function and is strongly affected by cardiovascular diseases. Since temporally dense mesh sequences are diff…

cs.CV2026

Preserve, Reveal, Expand: Faithful 4D Video Editing with Region-Aware Conditioning

Zhangchi Hu, Wenzhang Sun, Xiangchen Yin +5

Existing 4D-driven video diffusion models primarily target plausible generation, but faithful 4D editing requires preserving source-observed regions while synthesizing disoccluded…

cs.CV2026

Lance: Unified Multimodal Modeling by Multi-Task Synergy

Fengyi Fu, Mengqi Huang, Shaojin Wu +10

We present Lance, a lightweight native unified model supporting multimodal understanding, generation, and editing for both images and videos. Rather than relying on model capacity…