G3DR: Generative 3D Reconstruction in ImageNet

arXiv:2403.00939v1 Announce Type: new
Abstract: We introduce a novel 3D generative method, Generative 3D Reconstruction (G3DR) in ImageNet, capable of generating diverse and high-quality 3D objects from single images, addressing the limitations of existing methods. At the heart of our framework is a novel depth regularization technique that enables the generation of scenes with high-geometric fidelity. G3DR also leverages a pretrained language-vision model, such as CLIP, to enable reconstruction in novel views and improve the visual realism of generations. Additionally, …

3d reconstruction arxiv cs.cv cs.gr generative imagenet type