4 papers
OceanSplat: Object-aware Gaussian Splatting with Trinocular View Consistency for Underwater Scene Reconstruction
Minseong Kweon, Jinsun Park
We introduce OceanSplat, a novel 3D Gaussian Splatting-based approach for high-fidelity underwater scene reconstruction. To overcome multi-view inconsistencies caused by scattering…
MrGS: Multi-modal Radiance Fields with 3D Gaussian Splatting for RGB-Thermal Novel View Synthesis
Minseong Kweon, Janghyun Kim, Ukcheol Shin +1
Recent advances in Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting (3DGS) have achieved considerable performance in RGB scene reconstruction. However, multi-modal renderin…
All-day Depth Completion via Thermal-LiDAR Fusion
Janghyun Kim, Minseong Kweon, Jinsun Park +1
Depth completion, which estimates dense depth from sparse LiDAR and RGB images, has demonstrated outstanding performance in well-lit conditions. However, due to the limitations of…
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges
Ukcheol Shin, Jinsun Park
Achieving robust and accurate spatial perception under adverse weather and lighting conditions is crucial for the high-level autonomy of self-driving vehicles and robots. However,…