2024 arXiv Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories Susung Hong, Johanna Karras, Ricardo Martin-Brualla, and Ira Kemelmacher-Shlizerman arXiv, 2024 arXiv Website arXiv Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling Junha Hyung*, Kinam Kim*, Susung Hong, Min-Jung Kim, and Jaegul Choo arXiv, 2024 arXiv Website NeurIPS Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention Susung Hong NeurIPS, 2024 arXiv Website NeurIPS Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, and Jin-Hwa Kim NeurIPS, 2024 arXiv Website ICML Retrieval-Augmented Score Distillation for Text-to-3D Generation Junyoung Seo*, Susung Hong*, Wooseok Jang*, Inès Hyeonsu Kim, Minseop Kwak, Doyup Lee, and Seungryong Kim ICML, 2024 arXiv Website PR Depth-aware guidance with self-estimated depth representations of diffusion models Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, and Seungryong Kim Pattern Recognition, 2024 arXiv Website 2023 ICMLW DirecT2V: Large Language Models are Frame-Level Directors for Zero-shot Text-to-Video Generation Susung Hong, Junyoung Seo, Sunghwan Hong, Heeseong Shin, and Seungryong Kim Short Version: First Workshop on Controllable Video Generation at ICML, 2023 arXiv Website NeurIPS Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation Susung Hong*, Donghoon Ahn*, and Seungryong Kim NeurIPS, 2023 arXiv Website ICCV Improving Sample Quality of Diffusion Models Using Self-Attention Guidance Susung Hong, Gyuseong Lee, Wooseok Jang, and Seungryong Kim ICCV, 2023 arXiv Website 2022 NeurIPS Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, and Seungryong Kim NeurIPS, 2022 arXiv Website
