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This paper proposes COVER, a training-free method for converting 3D assets into sparse panoramic RGB-D-pose data with complete scene coverage and low redundancy, and introduces the CM-EVS dataset containing 36,373 curated frames from indoor and outdoor scenes.
A developer created an immersive "time machine" tool using OpenAI’s new image model that generates explorable panoramic scenes from text prompts.