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Min-Seop Matthew Kwak


I am a Ph.D. student at KAIST AI under the supervision of Professor Seungryong Kim. My research interests broadly encompass computer vision, NeRF, and generative models.

Work Experience


Research Intern in Naver Cloud, Seoul, Korea (2024.07 - Ongoing)



Publications



Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling

Min-Seop Kwak, Donghoon Ahn, Hyeonsu Kim, Jin-Hwa Kim, Seungryong Kim

ArXiv Preprint, 2024





Retrieval-Augmented Score Distillation for Text-to-3D Generation

Junyoung Seo*, Susung Hong*, Wooseok Jang*, Hyeonsu Kim, Min-Seop Kwak, Doyup Lee, Seungryong Kim

International Conference on Machine Learning (ICML) 2024





3DFuse: Let 2D Diffusion Model Know 3D Consistency for Robust Text-to-3D Generation

Junyoung Seo*, Wooseok Jang*, Min-Seop Kwak*, Hyeonsu Kim, Jaehoon Ko, Junho Kim, Jin-hwa Kim, Jiyoung Lee, Seungryong Kim

International Conference on Learning Representations (ICLR) 2024





Self-Evolving Neural Radiance Fields

Jaewoo Jung*, Jisang Han*, Jiwon Kang*, Seongchan Kim, Min-Seop Kwak, Seungryong Kim

ArXiv Preprint, 2023





DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation

Jiuhn Song*, Seonghoon Park*, Honggyu An*, Seokju Cho, Min-Seop Kwak , Sungjin Cho, Seungryong Kim

Neural Information Processing Systems (NeurIPS) 2023





GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency

Min-Seop Kwak*, Jiuhn Song*, Seungryong Kim

International Conference on Machine Learning (ICML) 2023