17 papers
MemoBench: Benchmarking World Modeling in Dynamically Changing Environments
Haoyu Chen, Kaichen Zhou, Hang Hua +11
The paper introduces MemoBench, a benchmark that tests video generation models' ability to remember and correctly update objects that disappear and later reappear in dynamically ch…
AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation
Eric Ji, Qiran Hu, Wufei Ma +4
Synthetic data generation has emerged as a powerful tool for improving data scalability in computer vision. Recent diffusion-based pipelines have demonstrated strong photorealism.…
SEMAGIC: Learning Semantically Consistent Deformable 3D Representations from In-the-Wild Images
Sky Cen, Wufei Ma, Guofeng Zhang +2
Learning deformable 3D object models from single-view in-the-wild images has enabled impressive 3D shape reconstruction without supervision. However, it remains unclear whether the…
LychSim: A Controllable and Interactive Simulation Framework for Vision Research
Wufei Ma, Chloe Wang, Siyi Chen +3
While self-supervised pretraining has reduced vision systems' reliance on synthetic data, simulation remains an indispensable tool for closed-loop optimization and rigorous out-of-…
PASR: Pose-Aware 3D Shape Retrieval from Occluded Single Views
Jiaxin Shi, Guofeng Zhang, Wufei Ma +3
Single-view 3D shape retrieval is a fundamental yet challenging task that is increasingly important with the growth of available 3D data. Existing approaches largely fall into two…
A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens
Tommie Kerssies, Gabriele Berton, Ju He +5
Anticipating diverse future states is a central challenge in video world modeling. Discriminative world models produce a deterministic prediction that implicitly averages over poss…