2 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Evaluating Multiview Object Consistency in Humans and Image Models
Tyler Bonnen, Stephanie Fu, Yutong Bai +5
We introduce a benchmark to directly evaluate the alignment between human observers and vision models on a 3D shape inference task. We leverage an experimental design from the cogn…
Approaching human 3D shape perception with neurally mappable models
Thomas P. O'Connell, Tyler Bonnen, Yoni Friedman +4
Humans effortlessly infer the 3D shape of objects. What computations underlie this ability? Although various computational models have been proposed, none of them capture the human…