works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

cs.CV2026

PrintAnything: Learning an Intermediate Representation for 3D printing G-code Generation

Sangmin Hong, Daniel Sungho Jung, Heewon Kim +1

PrintAnything is a framework that learns to generate executable 3D‑printing G‑code directly from raw point clouds by projecting them slice‑wise into a compact 2D G‑plan representat…

cs.CV2026

Shoe Style-Invariant and Ground-Aware Learning for Dense Foot Contact Estimation

Daniel Sungho Jung, Kyoung Mu Lee

Foot contact plays a critical role in human interaction with the world, and thus exploring foot contact can advance our understanding of human movement and physical interaction. De…

cs.CV2025

Learning Dense Hand Contact Estimation from Imbalanced Data

Daniel Sungho Jung, Kyoung Mu Lee

Hands are essential to human interaction, and exploring contact between hands and the world can promote comprehensive understanding of their function. Recently, there have been gro…

cs.CV2025

SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models

Jaerin Lee, Daniel Sungho Jung, Kanggeon Lee +1

We introduce SemanticDraw, a new paradigm of interactive content creation where high-quality images are generated in near real-time from given multiple hand-drawn regions, each enc…

cs.LG2024

Grokfast: Accelerated Grokking by Amplifying Slow Gradients

Jaerin Lee, Bong Gyun Kang, Kihoon Kim +1

One puzzling artifact in machine learning dubbed grokking is where delayed generalization is achieved tenfolds of iterations after near perfect overfitting to the training data. Fo…