Chaehun Shin

According to our database, Chaehun Shin authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Negative-Guided Subject Fidelity Optimization for Zero-Shot Subject-Driven Generation.

Chaehun Shin, Jooyoung Choi, Johan Barthelemy, Jungbeom Lee, Sungroh Yoon

CoRR, June, 2025

Diffusion-Stego: Training-free diffusion generative steganography via message projection.

Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon

Inf. Sci., 2025

Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator.

Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Disentangled Motion Modeling for Video Frame Interpolation.

Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Style-Friendly SNR Sampler for Style-Driven Generation.

Jooyoung Choi, Chaehun Shin, Yeongtak Oh, Heeseung Kim, Sungroh Yoon

CoRR, 2024

Improving Diffusion-Based Generative Models via Approximated Optimal Transport.

Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

ControlDreamer: Blending Geometry and Style in Text-to-3D.

Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon

Proceedings of the 35th British Machine Vision Conference, 2024

2023

ControlDreamer: Stylized 3D Generation with Multi-View ControlNet.

Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon

CoRR, 2023

Edit-A-Video: Single Video Editing with Object-Aware Consistency.

Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering.

Geonho Cha, Chaehun Shin, Sungroh Yoon, Dongyoon Wee

CoRR, 2022

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.

Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Perception Prioritized Training of Diffusion Models.

Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior.

Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

CoRR, 2021

Personalized Face Authentication Based On Few-Shot Meta-Learning.

Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation.

Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021