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Ben Lee

2 accepted papers

2024

Robust Inverse Graphics via Probabilistic Inference

ICML 2024poster

How do we infer a 3D scene from a single image in the presence of corruptions like rain, snow or fog? Straightforward domain randomization relies on knowing the family of corruptions ahead of time. Here, we propose a Bayesian approach---dubbed robust inverse graphics (RIG)---that relies on a strong…

2023

ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images

AISTATS 2023poster

The problem of inferring object shape from a single 2D image is underconstrained. Prior knowledge about what objects are plausible can help, but even given such prior knowledge there may still be uncertainty about the shapes of occluded parts of objects. Recently, conditional neural radiance field (…