all AI news
MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation
April 5, 2024, 4:45 a.m. | Hanzhe Hu, Zhizhuo Zhou, Varun Jampani, Shubham Tulsiani
cs.CV updates on arXiv.org arxiv.org
Abstract: We present MVD-Fusion: a method for single-view 3D inference via generative modeling of multi-view-consistent RGB-D images. While recent methods pursuing 3D inference advocate learning novel-view generative models, these generations are not 3D-consistent and require a distillation process to generate a 3D output. We instead cast the task of 3D inference as directly generating mutually-consistent multiple views and build on the insight that additionally inferring depth can provide a mechanism for enforcing this consistency. Specifically, we …
abstract arxiv consistent cs.cv distillation fusion generate generative generative modeling generative models images inference modeling novel process rgb-d type via view
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York