arXiv (OAI Expanded)
open access
Accelerating HKTex without Mesh Eigensystems: Local Unfolding and Randomized Thermal Features
Heat Kernel Textures (HKTex) represent surface appearance with intrinsic anisotropic kernels, but evaluate them using 50 global Laplace-Beltrami eigendecompositions and a resident basis of shape [50,V,256]. We study two complementary ways to remove this bottleneck while leaving the trainer, Ge
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Heat Kernel Textures: the Geodesic Gaussians That Do Not Splat#984471
- Remote epitaxial frustration stabilizes a correlated interfacial state#999698
- Identity-Conditioned Latent Consistency Distillation for Face Synthesis#819081
- Identity-Conditioned Latent Consistency Distillation for Face Synthesis#809089
- Tangram: Hiding GPU Heterogeneity for Efficient LLM Parallelization#280157
Record · ID 1083577
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive