NeoMap introduces a training-free framework using convergent manifold alternating projection iterations to extract high-fidelity novel views from pre-trained video models, outperforming prior methods on standard benchmarks.
Genwarp: Single image to novel views with semantic-preserving generative warping
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Error-Conditioned Neural Solvers improve PDE prediction accuracy by using the residual field as network input for learned corrections, outperforming residual-minimization methods by up to 10x on turbulent flows and generalizing better under distribution shifts.
KFC-W is a self-supervised 3D-aware video model trained on videos and multiview internet photos that produces geometrically consistent interpolations between unposed input images without any 3D annotations.
citing papers explorer
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NeoMap: Training-free Novel-View Synthesis from Single Images and Videos
NeoMap introduces a training-free framework using convergent manifold alternating projection iterations to extract high-fidelity novel views from pre-trained video models, outperforming prior methods on standard benchmarks.
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Error-Conditioned Neural Solvers
Error-Conditioned Neural Solvers improve PDE prediction accuracy by using the residual field as network input for learned corrections, outperforming residual-minimization methods by up to 10x on turbulent flows and generalizing better under distribution shifts.
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KFC-W: Generating 3D-Consistent Videos from Unposed Internet Photos
KFC-W is a self-supervised 3D-aware video model trained on videos and multiview internet photos that produces geometrically consistent interpolations between unposed input images without any 3D annotations.