3 papers
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.CV2025
PIT-QMM: A Large Multimodal Model For No-Reference Point Cloud Quality Assessment
Shashank Gupta, Gregoire Phillips, Alan C. Bovik
Large Multimodal Models (LMMs) have recently enabled considerable advances in the realm of image and video quality assessment, but this progress has yet to be fully explored in the…
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…