Our guest speaker is Kyle Sargent from Stanford Vision Lab.

You are all cordially invited to the CVG Seminar on December 15th at 4 pm CET

• via Zoom (passcode is 520944).

Abstract

Novel view synthesis from a single image is an important problem in computer vision. Several sources of randomness and ill-posedness make the problem extremely challenging. I will present three papers from over the course of my research career, each taking a very different perspective and technical approach to this problem. As the talk progresses, I will explain how I have come to regard 3D generative modeling and 3D novel view synthesis as closely connected, and give supporting evidence. The final paper I will present is ZeroNVS: Zero-shot 360-degree View Synthesis from a Single Real Image, my most recent paper, which is currently in submission.

Bio

Kyle Sargent is a second year PhD student in the Stanford Vision Lab, advised by Jiajun Wu and Fei-Fei Li. He works on 3D generative models and novel view synthesis. He has written several papers for top vision conferences. This includes two first or co-first authored Best Paper Finalists, at CVPR2022 and ICCV2023. Prior to joining Stanford, he was an AI Resident at Google Research, and prior to that, he was an undergraduate at Harvard.