Search papers, labs, and topics across Lattice.
Affiliation:
7
0
4
20
Achieving high-quality 4D human reconstruction from casual monocular videos could revolutionize applications in virtual reality and gaming.
InfiniSplat's surface-aligned approach dramatically improves 3D scene rendering coherence, outperforming existing methods in challenging viewpoint scenarios.
Reducing inter-view redundancy, PointSplat achieves superior 3D human representation quality while minimizing computational load.
Monocular human motion capture can be dramatically improved by explicitly modeling high-order temporal dynamics like velocity and acceleration, leading to more realistic and less jittery movements.
Robots can now learn flexible, geometry-free interactions with objects directly from video, sidestepping the need for laborious 3D modeling or complex retargeting.
Synthesizing realistic duet dance motions gets a boost from explicitly modeling inter-dancer contact, leading to significantly improved interaction fidelity and rhythmic synchronization.
Photorealistic simulation with Gaussian Splatting and drivable avatars closes the reality gap, enabling embodied agents to learn human-aware navigation policies that generalize better to the real world.
