Seungtae Nam

According to our database, Seungtae Nam authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

iLRM: An Iterative Large 3D Reconstruction Model.

Gyeongjin Kang, Seungtae Nam, Xiangyu Sun, Sameh Khamis, Abdelrahman Mohamed, Eunbyung Park

CoRR, July, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Coordinate-Aware Modulation for Neural Fields.

Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FREQ-MIP-AA: Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields.

Youngin Park, Seungtae Nam, Cheul-Hee Hahm, Eunbyung Park

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields.

Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Separable Physics-Informed Neural Networks.

Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Masked Wavelet Representation for Compact Neural Radiance Fields.

Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improvement in Object Detection Using Multi-Scale RoI Pooling and Feature Pyramid Network.

Seungtae Nam, Daeho Lee

J. Comput. Sci. Eng., 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

CoRR, 2022

Streamable Neural Fields.

Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park

Proceedings of the Computer Vision - ECCV 2022, 2022