Aug 10, 2023 · It is especially desirable for these methods to transmit data progressively, improving the quality of the geometry with more data. Our key ...

Fig. 1. Neural Progressive Meshes. We present a framework that learns a progressive compressed representation of meshes for transmission purposes.

Jul 23, 2023 · We evaluate our method on a diverse set of complex 3D shapes and demonstrate that it outperforms baselines in terms of compression ratio and reconstruction ...

Fig. 1. Neural Progressive Meshes. We present a framework that learns a progressive compressed representation of meshes for transmission purposes.

Progressive Meshes. - Liu et al. 2020. Neural Subdivision. - Hu et al. 2022. Subdivision-based Mesh Convolution Networks.

We present a framework that learns a progressive compressed representation of meshes for transmission purposes.

Based on the parallelogram coordinate prediction and connectivity compression, this paper presents a near-lossless, two-pass, triangular mesh compression ...

With the polygon mesh representation, geometric details are typically generated on a coarse shape via transferring displacement maps or geometric texture ...

Oct 12, 2023 · Progressive mesh simplification (PM) algorithm aims to generate simplified mesh at any resolution for the input high-precision mesh, ...

This is an implementation of the progressive meshes based on the mesh simplification algorithm proposed by Garland and Heckbert.