4 papers
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…
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.…
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…
GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Textures
Sai Karthikey Pentapati, Anshul Rai, Arkady Ten +2
High-resolution texture maps are necessary for representing real-world objects accurately with 3D meshes. The large sizes of textures can bottleneck the real-time rendering of high…