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cs.CV2026
AgentSTAR: Agentic Shape Tracking and Reconstruction from Monocular Videos
Kirill Mazur, Nikita Karaev, Matthew Chang +2
In this work, we present a method for shape reconstruction and tracking from video via agentic analysis-by-synthesis. Unlike prior methods which first estimate dense pixel correspo…
cs.CV2026
Human-level 3D shape perception emerges from multi-view learning
Tyler Bonnen, Jitendra Malik, Angjoo Kanazawa
Humans can infer the three-dimensional structure of objects from two-dimensional visual inputs. Modeling this ability has been a longstanding goal for the science and engineering o…