| Improving sample quality of diffusion models using self-attention guidance S Hong, G Lee, W Jang, S Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 80 | 2023 |
| Debiasing scores and prompts of 2d diffusion for view-consistent text-to-3d generation S Hong, D Ahn, S Kim Advances in Neural Information Processing Systems 36, 11970-11987, 2023 | 44* | 2023 |
| Direct2v: Large language models are frame-level directors for zero-shot text-to-video generation S Hong, J Seo, H Shin, S Hong, S Kim arXiv preprint arXiv:2305.14330, 2023 | 37 | 2023 |
| Depth-aware guidance with self-estimated depth representations of diffusion models G Kim, W Jang, G Lee, S Hong, J Seo, S Kim Pattern Recognition 153, 110474, 2024 | 15* | 2024 |
| Neural matching fields: Implicit representation of matching fields for visual correspondence S Hong, J Nam, S Cho, S Hong, S Jeon, D Min, S Kim Advances in Neural Information Processing Systems 35, 13512-13526, 2022 | 12 | 2022 |
| Smoothed energy guidance: Guiding diffusion models with reduced energy curvature of attention S Hong arXiv preprint arXiv:2408.00760, 2024 | 3 | 2024 |
| Effective rank analysis and regularization for enhanced 3d gaussian splatting J Hyung, S Hong, S Hwang, J Lee, J Choo, JH Kim arXiv preprint arXiv:2406.11672, 2024 | 3 | 2024 |
| Retrieval-augmented score distillation for text-to-3d generation J Seo, S Hong, W Jang, IH Kim, M Kwak, D Lee, S Kim arXiv preprint arXiv:2402.02972, 2024 | 3 | 2024 |
| Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories S Hong, J Karras, R Martin-Brualla, I Kemelmacher-Shlizerman arXiv preprint arXiv:2412.05279, 2024 | | 2024 |
| Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling J Hyung, K Kim, S Hong, MJ Kim, J Choo arXiv preprint arXiv:2411.18664, 2024 | | 2024 |
Seungryong KimAssociate Professor, KAISTOverená e-mailová adresa na: kaist.ac.kr