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Huazhong University of Science and Technology
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Achieve geometrically consistent and explorable 3D scene generation from a single image by reformulating the problem as multi-view stereo matching on anchor views projected from a panorama.
Image generation models can now reason about spatial relationships with significantly improved accuracy thanks to a novel reinforcement learning framework that iteratively refines images based on spatial consistency checks.
