Research
I am currently working on scene understanding + RL for robot navigation and sim-to-real transfer at Disney Research.
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Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions
Gene Chou,
Yuval Bahat,
Felix Heide
Arxiv preprint
paper / code / project page / teaser video
This work performs diffusion on the weights of neural SDFs while providing geometric guidance. It generates diverse meshes conditioned on partial point clouds, 2D images, and real-scanned point clouds.
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GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
Gene Chou,
Ilya Chugunov,
Felix Heide
NeurIPS 2022 (Featured)
paper / code / project page
State-of-the-art methods for neural SDF estimation struggle to fit more than a few shapes at a time. This work presents a two stage semi-supervised meta-learning approach to reconstruct SDFs from raw input point clouds of over a hundred unseen object classes.
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