3 papers
cs.CV2026
Mitigating State Aliasing in Vision-Language-Action Models via Inverse Dynamics Learning
Kyujin Lee, Injae Kim, Jihwan Park +3
Vision-Language-Action (VLA) models have emerged as a promising framework that unifies perception, reasoning, and control for robot manipulation by adapting pretrained vision-langu…
cs.CV2026
F4Splat: Feed-Forward Predictive Densification for Feed-Forward 3D Gaussian Splatting
Injae Kim, Chaehyeon Kim, Minseong Bae +2
Feed-forward 3D Gaussian Splatting methods enable single-pass reconstruction and real-time rendering. However, they typically adopt rigid pixel-to-Gaussian or voxel-to-Gaussian pip…
cs.CV2025
Efficient multi-view training for 3D Gaussian Splatting
Minhyuk Choi, Injae Kim, Hyunwoo J. Kim
3D Gaussian Splatting (3DGS) has emerged as a preferred choice alongside Neural Radiance Fields (NeRF) in inverse rendering due to its superior rendering speed. Currently, the comm…