Embody4D generates novel-view videos from monocular robot videos via a 3D-aware synthesis pipeline, confidence-aware expert modulation, and interaction-aware attention for embodied 4D world modeling.
ACM Computing Surveys58(3), 1–38 (2025)
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
GEST-Engine turns game engines into zero-cost dense ground-truth video generators; GTASA reveals frozen video encoders fail inter-entity spatial relation probes.
PhysMani couples a physics-principled 3D Gaussian world model with a future-aware policy to achieve higher success rates on dynamic manipulation tasks in simulation and real robots.
citing papers explorer
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Embody4D: A Generalist Data Engine for Embodied 4D World Modeling
Embody4D generates novel-view videos from monocular robot videos via a 3D-aware synthesis pipeline, confidence-aware expert modulation, and interaction-aware attention for embodied 4D world modeling.
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GTASA: Ground Truth Annotations for Spatiotemporal Analysis, Evaluation and Training of Video Models
GEST-Engine turns game engines into zero-cost dense ground-truth video generators; GTASA reveals frozen video encoders fail inter-entity spatial relation probes.
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PhysMani: Physics-principled 3D World Model for Dynamic Object Manipulation
PhysMani couples a physics-principled 3D Gaussian world model with a future-aware policy to achieve higher success rates on dynamic manipulation tasks in simulation and real robots.