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Found 3 papers, 1 papers with code
Neural Control Variates with Automatic Integration
This paper proposes a novel approach to construct learnable parametric control variates functions from arbitrary neural network architectures.
A Simple Approach to Differentiable Rendering of SDFs
We present a simple algorithm for differentiable rendering of surfaces represented by Signed Distance Fields (SDF), which makes it easy to integrate rendering into gradient-based optimization pipelines.
Robotic Dough Shaping
The ability to deform soft objects remains a great challenge for robots due to difficulties in defining the problem mathematically.
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