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Found 4 papers, 1 papers with code
A Theory of Topological Derivatives for Inverse Rendering of Geometry
We introduce a theoretical framework for differentiable surface evolution that allows discrete topology changes through the use of topological derivatives for variational optimization of image functionals.
A Level Set Theory for Neural Implicit Evolution under Explicit Flows
Our method uses the flow field to deform parametric implicit surfaces by extending the classical theory of level sets.
Modulated Periodic Activations for Generalizable Local Functional Representations
Our approach produces generalizable functional representations of images, videos and shapes, and achieves higher reconstruction quality than prior works that are optimized for a single signal.
RefocusGAN: Scene Refocusing using a Single Image
Post-capture control of the focus position of an image is a useful photographic tool.
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