Sang Min Kim
I am a Ph.D. student in Electrical and Computer Engineering at the Seoul National University under the supervision of Prof. Young Min Kim.
Previously, I worked on problems in computer vision and graphics, focusing on neural implicit representations for 3D scene reconstruction.
My current research interests lie in robotics, aiming to bridge the gap between computer vision and robotic control. I am particularly interested in understanding how humans perceive and interact with their environments, and in enabling robots to imitate such intuitive behaviors.
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Point2Act: Efficient 3D Distillation of Multimodal LLMs for Zero-Shot Context-Aware Grasping
Sang Min Kim, Hyeongjun Heo, Junho Kim, Yonghyeon Lee, Young Min Kim
arXiv, 2025
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I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM
Gwangtak Bae*, Changwoon Choi*, Hyeongjun Heo, Sang Min Kim, Young Min Kim
(*Equal contribution)
European Conference on Computer Vision (ECCV), 2024
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NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects
Junho Lee, Sang Min Kim, Yonghyeon Lee, Young Min Kim
IEEE Robotics and Automation Letters (RA-L), 2023
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Robust Novel View Synthesis with Color Transform Module
Sang Min Kim, Changwoon Choi, Hyeongjun Heo, Young Min Kim
Computer Graphics Forum (Proceedings of Pacific Graphics), 2023
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Balanced Spherical Grid for Egocentric View Synthesis
Changwoon Choi, Sang Min Kim, Young Min Kim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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arXiv
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Minicraft: ray-tracing version of minecraft
Graphics Programming, SNU, Fall 2022
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Clone the minecraft with OpenGL. Implement the ray-tracing acceleration algorithm(3D DDA).
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This template is a modification to Jon Barron's website. Find the source code to my version here. Feel free to clone it for your own use while attributing the original author Jon Barron.
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