8 papers · 1 filter
4D Human-Scene Reconstruction from Low-Overlap Captures
Minhyuk Hwang, Sangmin Kim, Seunguk Do +2
Existing volumetric capture of dynamic human performance achieves high fidelity with dense camera arrays. However, in real-world scenarios, only a handful of low-overlap cameras ar…
FreeTimeGS++: Secrets of Dynamic Gaussian Splatting and Their Principles
Lucas Yunkyu Lee, Soonho Kim, Youngwook Kim +2
Recent progress in 4D Gaussian Splatting (4DGS) has achieved impressive dynamic scene reconstruction results. While these methods demonstrate remarkable performance, the specific f…
TRiGS: Temporal Rigid-Body Motion for Scalable 4D Gaussian Splatting
Suwoong Yeom, Joonsik Nam, Seunggyu Choi +7
Recent 4D Gaussian Splatting (4DGS) methods achieve impressive dynamic scene reconstruction but often rely on piecewise linear velocity approximations and short temporal windows. T…
Coherent Human-Scene Reconstruction from Multi-Person Multi-View Video in a Single Pass
Sangmin Kim, Minhyuk Hwang, Geonho Cha +2
Recent advances in 3D foundation models have led to growing interest in reconstructing humans and their surrounding environments. However, most existing approaches focus on monocul…
SEAL-pose: Enhancing 3D Human Pose Estimation via a Learned Loss for Structural Consistency
Yeonsung Kim, Junggeun Do, Seunguk Do +3
3D human pose estimation (HPE) is characterized by intricate local and global dependencies among joints. Conventional supervised losses are limited in capturing these correlations…
Optimized Minimal 4D Gaussian Splatting
Minseo Lee, Byeonghyeon Lee, Lucas Yunkyu Lee +7
4D Gaussian Splatting has emerged as a new paradigm for dynamic scene representation, enabling real-time rendering of scenes with complex motions. However, it faces a major challen…