Physics-informed computer vision: A review and perspectives

C Banerjee, K Nguyen, C Fookes, K George - ACM Computing Surveys, 2024 - dl.acm.org
The incorporation of physical information in machine learning frameworks is opening and
transforming many application domains. Here the learning process is augmented through …

Scaling up dynamic human-scene interaction modeling

N Jiang, Z Zhang, H Li, X Ma, Z Wang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Confronting the challenges of data scarcity and advanced motion synthesis in human-scene
interaction modeling we introduce the TRUMANS dataset alongside a novel HSI motion …

Motionlcm: Real-time controllable motion generation via latent consistency model

W Dai, LH Chen, J Wang, J Liu, B Dai… - European Conference on …, 2024 - Springer
This work introduces MotionLCM, extending controllable motion generation to a real-time
level. Existing methods for spatial-temporal control in text-conditioned motion generation …

Nifty: Neural object interaction fields for guided human motion synthesis

N Kulkarni, D Rempe, K Genova… - Proceedings of the …, 2024 - openaccess.thecvf.com
We address the problem of generating realistic 3D motions of humans interacting with
objects in a scene. Our key idea is to create a neural interaction field attached to a specific …