10 sources covering this story

NeurFrame: Learning Continuous Frame Fields for Structured Mesh Generation

NeurFrame introduces a neural framework for generating structured meshes, significantly enhancing the efficiency and quality of mesh generation for complex geometries. This innovation is particularly relevant for graphics programmers and designers, as it allows for continuous frame field representation, reducing computational costs while improving mesh quality.

First reported 6 months, 2 weeks ago • mesh generation neural networks graphics programming

Want to discuss what this means for developers?

Open discussion

All Sources

View article page

PRIMARY SOURCE

arXiv cs.GR

NeurFrame: Learning Continuous Frame Fields for Structured Mesh Generation

6 months, 2 weeks ago Read source

arXiv cs.GR 1% match

Workflow-Aware Structured Layer Decomposition for Illustration Production

6 months, 2 weeks ago Read source

arXiv cs.GR 1% match

Diverse Text-to-Image Generation via Contrastive Noise Optimization

6 months, 2 weeks ago Read source

arXiv cs.GR 1% match

Adaptive GPU Kinetic Solver for Fluid-Granular Flows

6 months, 2 weeks ago Read source

arXiv cs.GR 1% match

Perceptual Sensitivity to Stereo Geometry Errors in Head-Mounted Displays

6 months, 2 weeks ago Read source

arXiv cs.GR 1% match

4D Synchronized Fields: Motion-Language Gaussian Splatting for Temporal Scene Understanding

6 months, 2 weeks ago Read source

arXiv cs.GR 1% match

Masked BRep Autoencoder via Hierarchical Graph Transformer

6 months, 2 weeks ago Read source

arXiv cs.GR 1% match

A Texture Lookup Approach to B\'ezier Curve Evaluation on the GPU

6 months, 2 weeks ago Read source

arXiv cs.GR 1% match

ExCellGen: Fast, Controllable, Photorealistic 3D Scene Generation from a Single Real-World Exemplar

6 months, 2 weeks ago Read source

arXiv cs.GR 1% match

HOI-Brain: a novel multi-channel transformers framework for brain disorder diagnosis by accurately extracting signed higher-order interactions from fMRI

6 months, 2 weeks ago Read source

Read Full Article Back to Feed