Search Results for author: Seokjun Ahn

Found 3 papers, 2 papers with code

Sequential Brick Assembly with Efficient Constraint Satisfaction

no code implementations3 Oct 2022 Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park

The assembly problem is challenging since the number of possible structures increases exponentially with the number of available bricks, complicating the physical constraints to satisfy across bricks.

Bayesian Optimization Position

Style-Agnostic Reinforcement Learning

1 code implementation31 Aug 2022 Juyong Lee, Seokjun Ahn, Jaesik Park

We present a novel method of learning style-agnostic representation using both style transfer and adversarial learning in the reinforcement learning framework.

Data Augmentation reinforcement-learning +2

Self-Calibrating Neural Radiance Fields

1 code implementation ICCV 2021 Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park

We also propose a new geometric loss function, viz., projected ray distance loss, to incorporate geometric consistency for complex non-linear camera models.

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