SVRecon: Sparse Voxel Rasterization for Surface Reconstruction
arXiv, 2025
We strengthen voxel-wise associations among parent-child and sibling voxel groups, resulting in smoother surface reconstruction.
[Paper]
Jaesung Choe
Hi, I am a research scientist at NVIDIA Research Taiwan. My main research interest is 3D vision language models from 3D pointclouds, 3D Gaussians, and 3D humans.
CV / Google Scholar / LinkedIn
News
- Nov 2025: NVIDIA Research Taiwan is currently hiring for a full-time research position.
- Feb 2025: Three papers have been accepted to CVPR 2025.
Research
I'm interested in computer vision for 3D scene understanding. Representative papers are highlighted.
MV-SAM: Multi-view Promptable Segmentation using Pointmap Guidance
arXiv, 2025
A framework for multi-view promptable segmentation that achieves 3D consistency using pointmaps—3D points reconstructed from unposed images by recent visual geometry models, such as VGGT, PI3, etc.
Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting
arXiv, 2025
An efficient rendering algorithm for 3D Gaussians that involve high-dimensional feature vectors. Our Q-render achieves ∼43.7× speed gains compared to recent studies when rendering 512-D feature maps.
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration
CVPR, 2025 (highlight Top 3.7%)
Distill language knowledge into 3D Gaussian Splatting. + Winner of Qualcomm Innovation Fellowship Korea
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation
CVPR, 2025
Introduce a data generation pipeline that leverages 2D foundation models to synthesize 3D mask-text paired data.
Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering
CVPR, 2025
Extend the rasterization technique into the sparse voxel representation for the image rendering task.
Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction
ICCV, 2023
Apply spacetime surface regularization technique for 4D surface reconstruction and dynamic scene rendering.
[Paper]
PointMixer: MLP-Mixer for Point Cloud Understanding
ECCV, 2022
Design a new MLP-only architecture for 3D points.
Deep Point Cloud Reconstruction
ICLR, 2022
Perform the point cloud upsampling and denoising tasks simultaneously. Demonstrate good generalization performance.
[Paper]
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction
ICCV, 2021
Propose deep learning based depth fusion algorithm for indoor scene reconstruction.
[Paper]
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation
RA-L, 2021
Estimation dense depth maps by fusing LiDAR points and stereo images.
[Paper (RA-L)] [Paper (ICRA)] [Video]
Research Intern Mentorship
I have mentored the following research interns.- 2026 TBU
- 2024 Yoonwoo Jeong (POSTECH)
- 2023 Chunghyun Park (POSTECH)
Academic collaboration
For research collaboration, I have collaborated with the following researchers.- 2026 Open (feel free to reach out if interested!)
- 2025 Seunghun Oh (Seoul National University)
- 2025 Kim Yu-ji (POSTECH)
- 2024 Kim Jun-Seong (POSTECH)