2 citations · 3 across the 3 of their papers we have counts for
3 papers
A Theory of Topological Derivatives for Inverse Rendering of Geometry
Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi
We introduce a theoretical framework for differentiable surface evolution that allows discrete topology changes through the use of topological derivatives for variational optimizat…
A Level Set Theory for Neural Implicit Evolution under Explicit Flows
Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi
Coordinate-based neural networks parameterizing implicit surfaces have emerged as efficient representations of geometry. They effectively act as parametric level sets with the zero…
Modulated Periodic Activations for Generalizable Local Functional Representations
Ishit Mehta, Michaël Gharbi, Connelly Barnes +3
Multi-Layer Perceptrons (MLPs) make powerful functional representations for sampling and reconstruction problems involving low-dimensional signals like images,shapes and light fiel…