Nam, Seungtae

8 publications

CVPR 2025 Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Seungtae Nam, Xiangyu Sun, Gyeongjin Kang, Younggeun Lee, Seungjun Oh, Eunbyung Park

CVPR 2025 SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting Gyeongjin Kang, Jisang Yoo, Jihyeon Park, Seungtae Nam, Hyeonsoo Im, Sangheon Shin, Sangpil Kim, Eunbyung Park

ICLR 2024 Coordinate-Aware Modulation for Neural Fields Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park

CVPR 2023 Masked Wavelet Representation for Compact Neural Radiance Fields Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park

NeurIPS 2023 Mip-Grid: Anti-Aliased Grid Representations for Neural Radiance Fields Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park

NeurIPS 2023 Separable Physics-Informed Neural Networks Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park

NeurIPSW 2022 Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park

ECCV 2022 Streamable Neural Fields Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park