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cs.CV2026
SceneFoundry: Generating Interactive Infinite 3D Worlds
ChunTeng Chen, YiChen Hsu, YiWen Liu +5
The ability to automatically generate large-scale, interactive, and physically realistic 3D environments is crucial for advancing robotic learning and embodied intelligence. Howeve…
cs.CV2025
FROSS: Faster-than-Real-Time Online 3D Semantic Scene Graph Generation from RGB-D Images
Hao-Yu Hou, Chun-Yi Lee, Motoharu Sonogashira +1
The ability to abstract complex 3D environments into simplified and structured representations is crucial across various domains. 3D semantic scene graphs (SSGs) achieve this by re…
cs.CV2024
Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization
Yuhang Song, Mario Gianni, Chenguang Yang +4
This paper addresses the challenge of fine-grained alignment in Vision-and-Language Navigation (VLN) tasks, where robots navigate realistic 3D environments based on natural languag…