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Sungroh Yoon

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.SD1
same name
  • Sungroh Yoon — 52 papers, h 54
  • Sungroh Yoon — 28 papers
  • Sungroh Yoon — 2 papers, h 12
  • Sungroh Yoon — 1 paper
  • Sungroh Yoon — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedUnsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Improving Geometry in Sparse-View 3DGS via Reprojection-based DoF Separation

Yongsung Kim, Minjun Park, Jooyoung Choi +1

Recent learning-based Multi-View Stereo models have demonstrated state-of-the-art performance in sparse-view 3D reconstruction. However, directly applying 3D Gaussian Splatting (3D…

cs.CV2024★ 1 cited

Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization

Sanghyeob Song, Jaihyun Lew, Hyemi Jang +1

Estimating the homography between two images is crucial for mid- or high-level vision tasks, such as image stitching and fusion. However, using supervised learning methods is often…

cs.SD2024

VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech

Heeseung Kim, Sang-gil Lee, Jiheum Yeom +3

We propose VoiceTailor, a parameter-efficient speaker-adaptive text-to-speech (TTS) system, by equipping a pre-trained diffusion-based TTS model with a personalized adapter. VoiceT…

cs.CV2024

Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models

Jihun Yi, Dahuin Jung, Sungroh Yoon

The task of image anomaly detection (IAD) aims to identify deviations from normality in image data. These anomalies are patterns that deviate significantly from what the IAD model…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.