InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion

arXiv:2403.17422v1 Announce Type: new
Abstract: We present InterHandGen, a novel framework that learns the generative prior of two-hand interaction. Sampling from our model yields plausible and diverse two-hand shapes in close interaction with or without an object. Our prior can be incorporated into any optimization or learning methods to reduce ambiguity in an ill-posed setup. Our key observation is that directly modeling the joint distribution of multiple instances imposes high learning complexity due to its combinatorial nature. Thus, we propose …

abstract arxiv cs.cv diffusion diverse framework generative novel object optimization prior reduce sampling type via