Chaehun Shin

23 papers A* 5A 1B 1C 1Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring the transformer-based and diffusion-based models for single image deblurring.
J. Vis. Commun. Image Represent.
Seunghwan Park, Chaehun Shin, Jaihyun Lew, Sungroh Yoon
2025 J jnl
Diffusion-Stego: Training-free diffusion generative steganography via message projection.
Inf. Sci.
Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon
2025 A* conf
Disentangled Motion Modeling for Video Frame Interpolation.
AAAI
Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon
2025 A* conf
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator.
CVPR
Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon
2025 J jnl
Negative-Guided Subject Fidelity Optimization for Zero-Shot Subject-Driven Generation.
CoRR
Chaehun Shin, Jooyoung Choi, Johan Barthelemy, Jungbeom Lee, Sungroh Yoon
2025 J jnl
TextGuider: Training-Free Guidance for Text Rendering via Attention Alignment.
CoRR
Kanghyun Baek, Sangyub Lee, Jin Young Choi, Jaewoo Song, Daemin Park, Jooyoung Choi, Chaehun Shin, Bohyung Han, Sungroh Yoon
2024 A conf
ControlDreamer: Blending Geometry and Style in Text-to-3D.
BMVC
Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon
2024 J jnl
Disentangled Motion Modeling for Video Frame Interpolation.
CoRR
Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon
2024 J jnl
Improving Diffusion-Based Generative Models via Approximated Optimal Transport.
CoRR
Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon
2024 J jnl
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator.
CoRR
Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon
2024 J jnl
Style-Friendly SNR Sampler for Style-Driven Generation.
CoRR
Jooyoung Choi, Chaehun Shin, Yeongtak Oh, Heeseung Kim, Sungroh Yoon
2023 J jnl
ControlDreamer: Stylized 3D Generation with Multi-View ControlNet.
CoRR
Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon
2023 J jnl
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection.
CoRR
Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon
2023 C conf
Edit-A-Video: Single Video Editing with Object-Aware Consistency.
ACML
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
2023 J jnl
Edit-A-Video: Single Video Editing with Object-Aware Consistency.
CoRR
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
2022 J jnl
Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering.
CoRR
Geonho Cha, Chaehun Shin, Sungroh Yoon, Dongyoon Wee
2022 A* conf
Perception Prioritized Training of Diffusion Models.
CVPR
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
2022 J jnl
Perception Prioritized Training of Diffusion Models.
CoRR
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
2022 A* conf
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.
ICLR
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
2021 A* conf
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation.
CVPR
Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon
2021 J jnl
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation.
CoRR
Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon
2021 B conf
Personalized Face Authentication Based On Few-Shot Meta-Learning.
ICIP
Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon
2021 J jnl
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior.
CoRR
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu