| Let 2D Diffusion Model know 3D Consistency for Robust Text-to-3D Generation J Seo, W Jang, MS Kwak, J Ko, H Kim, J Kim, JH Kim, J Lee, S Kim The 12th International Conference on Learning Representations (ICLR), 2023 | 93 | 2023 |
| GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency MS Kwak, J Song, S Kim Proceedings of the 40th International Conference on Machine Learning (ICML), 2023 | 19 | 2023 |
| DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation J Song, S Park, H An, S Cho, MS Kwak, S Cho, S Kim Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 | 3* | 2023 |
| Retrieval-augmented score distillation for text-to-3d generation J Seo, S Hong, W Jang, IH Kim, M Kwak, D Lee, S Kim Proceedings of the 41th International Conference on Machine Learning (ICML), 2024 | 1 | 2024 |
| Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling MS Kwak, D Ahn, IH Kim, JH Kim, S Kim arXiv preprint arXiv:2406.16695, 2024 | | 2024 |
| Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification IH Kim, JB Lee, S Son, W Jin, K Cho, J Seo, MS Kwak, S Cho, JY Baek, ... arXiv preprint arXiv:2406.16042, 2024 | | 2024 |
| Self-Evolving Neural Radiance Fields J Jung, J Han, J Kang, S Kim, MS Kwak, S Kim arXiv preprint arXiv:2312.01003, 2023 | | 2023 |
Seungryong KimKorea UniversityVerified email at korea.ac.kr
