| 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 | 68 | 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 | 40 | 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 | 30* | 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 | 13* | 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 | 9 | 2022 |
| 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 |
| 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 | 2 | 2024 |
| Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention S Hong arXiv preprint arXiv:2408.00760, 2024 | | 2024 |