Min-Seop Kwak
Min-Seop Kwak
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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
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
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
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
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
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
Self-Evolving Neural Radiance Fields
J Jung, J Han, J Kang, S Kim, MS Kwak, S Kim
arXiv preprint arXiv:2312.01003, 2023
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