18 citations · 74 across the 21 of their papers we have counts for
5 papers · 1 filter
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning
Seungwook Kim, Chunghyun Park, Yoonwoo Jeong +2
Learning to predict reliable characteristic orientations of 3D point clouds is an important yet challenging problem, as different point clouds of the same class may have largely va…
Fill-Up: Balancing Long-Tailed Data with Generative Models
Joonghyuk Shin, Minguk Kang, Jaesik Park
Modern text-to-image synthesis models have achieved an exceptional level of photorealism, generating high-quality images from arbitrary text descriptions. In light of the impressiv…
Extending CLIP's Image-Text Alignment to Referring Image Segmentation
Seoyeon Kim, Minguk Kang, Dongwon Kim +2
Referring Image Segmentation (RIS) is a cross-modal task that aims to segment an instance described by a natural language expression. Recent methods leverage large-scale pretrained…
Binary Radiance Fields
Seungjoo Shin, Jaesik Park
In this paper, we propose \textit{binary radiance fields} (BiRF), a storage-efficient radiance field representation employing binary feature encoding that encodes local features us…
Scaling up GANs for Text-to-Image Synthesis
Minguk Kang, Jun-Yan Zhu, Richard Zhang +4
The recent success of text-to-image synthesis has taken the world by storm and captured the general public's imagination. From a technical standpoint, it also marked a drastic chan…