Sparse 3D hand joints plus an occlusion-aware control module produce higher-fidelity, 3D-consistent egocentric hand-object videos than dense-2D or implicit-pose baselines.
arXiv preprint arXiv:2411.19548 (2024) 5
2 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
AutoAWG generates controllable adverse weather automotive videos via semantics-guided adaptive multi-control fusion and vanishing-point-anchored temporal synthesis from static images, reducing FID by 50% and FVD by 16.1% on nuScenes without first-frame conditioning.
citing papers explorer
-
Controllable Egocentric Video Generation via Occlusion-Aware Sparse 3D Hand Joints
Sparse 3D hand joints plus an occlusion-aware control module produce higher-fidelity, 3D-consistent egocentric hand-object videos than dense-2D or implicit-pose baselines.
-
AutoAWG: Adverse Weather Generation with Adaptive Multi-Controls for Automotive Videos
AutoAWG generates controllable adverse weather automotive videos via semantics-guided adaptive multi-control fusion and vanishing-point-anchored temporal synthesis from static images, reducing FID by 50% and FVD by 16.1% on nuScenes without first-frame conditioning.