Search Results for author: Hyeonsu Kim

Found 3 papers, 2 papers with code

DiffMatch: Diffusion Model for Dense Matching

1 code implementation30 May 2023 Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim

The objective for establishing dense correspondence between paired images consists of two terms: a data term and a prior term.


GeoTMI:Predicting quantum chemical property with easy-to-obtain geometry via positional denoising

no code implementations28 Mar 2023 Hyeonsu Kim, Jeheon Woo, SeongHwan Kim, Seokhyun Moon, Jun Hyeong Kim, Woo Youn Kim

Hence, to incorporate information of the correct, GeoTMI aims to maximize mutual information between three variables: the correct and the corrupted geometries and the property.


Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

1 code implementation14 Mar 2023 Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim

Text-to-3D generation has shown rapid progress in recent days with the advent of score distillation, a methodology of using pretrained text-to-2D diffusion models to optimize neural radiance field (NeRF) in the zero-shot setting.

Single-View 3D Reconstruction Text to 3D

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