Vincent Sitzmann

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I am an incoming Assistant Professor at MIT EECS. Currently, I am a Postdoc at MIT's CSAIL with Josh Tenenbaum, Bill Freeman, and Fredo Durand. Previously, I finished a Ph.D. at Stanford University. My research interest lies in neural scene representations - the way neural networks learn to represent information on our world. My goal is to allow independent agents to reason about our world given visual observations, such as inferring a complete model of a scene with information on geometry, material, lighting etc. from only few observations, a task that is simple for humans, but currently impossible for AI.

computer graphics computer vision artificial intelligence neural rendering machine learning neurips ml ai neural fields nerf cvpr 3d computer vision neural scene representation neural field research neural networks cgi cv light fields differentiable rendering cvpr 2022 workshop tutorial eurographics siggraph novel view synthesis inverse graphics

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Vincent Sitzmann

Presentations

Neural Scene Representation & Rendering: Introduction to Novel View Synthesis

Tutorial on Generalization in Neural Fields, CVPR 2022 Tutorial on Neural Fields in Computer Vision

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering, NeurIPS 2021

Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations, NeurIPS 2019