Conceptio › Archive › arXiv (All)
arXiv (All) open access

SFA: A Statistical Physics-Inspired Diffusion Transformer for Efficient and High-Quality Image Generation

Huang, Zixuan et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
artificial-intelligencecomputer-vision-and-pattern-recognitiongraphicsimage-and-video-processing
Diffusion transformers have achieved remarkable success in image generation, but accelerating attention while preserving generation quality remains a major challenge at high resolutions. Inspired by statistical physics and the widespread occurrence of scale-free laws in nature, we introduce Scale-Fr
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

Record · ID 1535582
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