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Found 6 papers, 2 papers with code
Single Mesh Diffusion Models with Field Latents for Texture Generation
We introduce a framework for intrinsic latent diffusion models operating directly on the surfaces of 3D shapes, with the goal of synthesizing high-quality textures.
Möbius Convolutions for Spherical CNNs
M\"obius transformations play an important role in both geometry and spherical image processing - they are the group of conformal automorphisms of 2D surfaces and the spherical equivalent of homographies.
Field Convolutions for Surface CNNs
We present a novel surface convolution operator acting on vector fields that is based on a simple observation: instead of combining neighboring features with respect to a single coordinate parameterization defined at a given point, we have every neighbor describe the position of the point within its own coordinate frame.
Efficient Spatially Adaptive Convolution and Correlation
Fast methods for convolution and correlation underlie a variety of applications in computer vision and graphics, including efficient filtering, analysis, and simulation.
Quotienting Impertinent Camera Kinematics for 3D Video Stabilization
The foundation of this approach is a novel camera motion model that allows for real-world camera poses to be recovered directly from 3D motion fields.
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm
Here, we introduce a variant of GORA for humanoid action recognition with skeleton sequences, which we call GORA-S. We briefly review the algorithm's mathematical foundations and contextualize them in the problem of action recognition with skeleton sequences.
