no code implementations • 3 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.
1 code implementation • 31 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.
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.