Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ahn, Seokjun"'
We tackle the problem of sequential brick assembly with LEGO bricks to create combinatorial 3D structures. This problem is challenging since this brick assembly task encompasses the characteristics of combinatorial optimization problems. In particula
Externí odkaz:
http://arxiv.org/abs/2210.01021
We present a novel method of learning style-agnostic representation using both style transfer and adversarial learning in the reinforcement learning framework. The style, here, refers to task-irrelevant details such as the color of the background in
Externí odkaz:
http://arxiv.org/abs/2208.14863
Autor:
Jeong, Yoonwoo, Ahn, Seokjun, Choy, Christopher, Anandkumar, Animashree, Cho, Minsu, Park, Jaesik
In this work, we propose a camera self-calibration algorithm for generic cameras with arbitrary non-linear distortions. We jointly learn the geometry of the scene and the accurate camera parameters without any calibration objects. Our camera model co
Externí odkaz:
http://arxiv.org/abs/2108.13826
We address the problem of generating a sequence of LEGO brick assembly with high-fidelity structures, satisfying physical constraints between bricks. The assembly problem is challenging since the number of possible structures increases exponentially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed15ce90afdbd5859c9e44326c49ba6a
http://arxiv.org/abs/2210.01021
http://arxiv.org/abs/2210.01021