OVOW reconstructs instance-level, simulation-ready 4D mesh scenes from monocular video via a four-stage training-free pipeline and introduces a new benchmark for structured Video-to-4D evaluation.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
4 Pith papers cite this work. Polarity classification is still indexing.
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Empty-prompt (unconditional) inversion into a native text-to-3D model avoids "sink traps" and reconstructs and edits out-of-distribution 3D shapes more faithfully than text-guided inversion.
A single freehand sketch can generate a full orbit of photorealistic views in one pass, trained on a 9k synthetic sketch-to-multiview dataset with camera-aware adapters and SfM-supervised correspondences.
PAD synthesizes 3D geometry in observation space via depth unprojection as anchor to eliminate pose ambiguity in image-to-3D generation.
citing papers explorer
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One Video, One World: Turning Monocular Video into Physical 4D Scenes
OVOW reconstructs instance-level, simulation-ready 4D mesh scenes from monocular video via a four-stage training-free pipeline and introduces a new benchmark for structured Video-to-4D evaluation.
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Beyond Prompts: Unconditional 3D Inversion for Out-of-Distribution Shapes
Empty-prompt (unconditional) inversion into a native text-to-3D model avoids "sink traps" and reconstructs and edits out-of-distribution 3D shapes more faithfully than text-guided inversion.
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Geometrically Consistent Multi-View Scene Generation from Freehand Sketches
A single freehand sketch can generate a full orbit of photorealistic views in one pass, trained on a 9k synthetic sketch-to-multiview dataset with camera-aware adapters and SfM-supervised correspondences.
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Pose-Aware Diffusion for 3D Generation
PAD synthesizes 3D geometry in observation space via depth unprojection as anchor to eliminate pose ambiguity in image-to-3D generation.