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cs.CV2026
EgoFlow: Gradient-Guided Flow Matching for Egocentric 6DoF Object Motion Generation
Abhishek Saroha, Huajian Zeng, Xingxing Zuo +2
Understanding and predicting object motion from egocentric video is fundamental to embodied perception and interaction. However, generating physically consistent 6DoF trajectories…
cs.CV2026
GMT: Goal-Conditioned Multimodal Transformer for 6-DOF Object Trajectory Synthesis in 3D Scenes
Huajian Zeng, Abhishek Saroha, Daniel Cremers +1
Synthesizing controllable 6-DOF object manipulation trajectories in 3D environments is essential for enabling robots to interact with complex scenes, yet remains challenging due to…
cs.CV2025
SIGHT: Synthesizing Image-Text Conditioned and Geometry-Guided 3D Hand-Object Trajectories
Alexey Gavryushin, Alexandros Delitzas, Luc Van Gool +3
When humans grasp an object, they naturally form trajectories in their minds to manipulate it for specific tasks. Modeling hand-object interaction priors holds significant potentia…