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Searched for: 1 subject found.
6.8300 Advances in Computer Vision
(
)
Prereq: 6.7960, (6.1200 or 6.3700), and (18.06 or 18.C06)
Units: 3-0-9
Credit cannot also be received for 6.4300
Lecture: TR1-2.30 (26-100)
Advanced topics in computer vision focusing on geometry in computer vision, including image formation, representation theory for vision, classic multi-view geometry, multi-view geometry in the age of deep learning, differentiable rendering, neural scene representations, correspondence estimation, optical flow computation, and point tracking. Topics include generative modeling and representation learning including image and video generation, guidance in diffusion models, conditional probabilistic models, as well as representation learning in the form of contrastive and masking-based methods. Explores the intersection of robotics and computer vision with "vision for embodied agents," investigating the role of vision for decision-making, planning and control.
V. Sitzmann
No textbook information available
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