DORSal: Diffusion for Object-centric Representations of Scenes et al

arXiv:2306.08068v3 Announce Type: replace-cross
Abstract: Recent progress in 3D scene understanding enables scalable learning of representations across large datasets of diverse scenes. As a consequence, generalization to unseen scenes and objects, rendering novel views from just a single or a handful of input images, and controllable scene generation that supports editing, is now possible. However, training jointly on a large number of scenes typically compromises rendering quality when compared to single-scene optimized models such as NeRFs. In this paper, we …

abstract arxiv cs.ai cs.cv cs.lg datasets diffusion diverse editing images large datasets novel object objects progress rendering scalable type understanding