3 papers
cs.CV2026
GenSP: Consistent Spherical Parameterization via Learning Shape Generative Models
Sai Karthikey Pentapati, Shashank Gupta, Rajesh Sureddi +3
We introduce GenSP, a data-driven framework that learns consistent spherical parameterizations across a collection of genus-0 shapes. Instead of optimizing the parameterization of…
cs.CG2025
Hierarchical Neural Surfaces for 3D Mesh Compression
Sai Karthikey Pentapati, Gregoire Phillips, Alan Bovik
Implicit Neural Representations (INRs) have been demonstrated to achieve state-of-the-art compression of a broad range of modalities such as images, videos, 3D surfaces, and audio.…
cs.GR2025
Mesh Compression with Quantized Neural Displacement Fields
Sai Karthikey Pentapati, Gregoire Phillips, Alan C. Bovik
Implicit neural representations (INRs) have been successfully used to compress a variety of 3D surface representations such as Signed Distance Functions (SDFs), voxel grids, and al…