SYNTOLOGY HomeExplorerAtlasCodeMethodologyAboutDevelopersFeedPricing
Paper ยท 2510.04504 ยท ICLR ยท 2025

Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation

Jun Xiao, Junkun Yuan, Kun Kuang, Zijing Hu, Fengda Zhang, Yunze Tong, ๐’™ ๐’™, " ๐’™ "#$ ๐’™, " ๐’• "#$ ๐’•, % Concave, Scheduler ๐‘“

arXiv ยท PDF ยท Open in the Atlas

Code that ran

We lifted 1 functions out of this paper's own repositories and ran 0 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.

RepositoryRoleRan
hu-zijing/AsynDM โ€” 0 of 1
FunctionStatusWhere it lives
asyn_ddim_step_with_logprob Not yet run hu-zijing/AsynDM/diffusion/asyn_ddim_with_logprob.py
code served (permissive licence) ยท get_code("6bfb3645e892087a")

Repositories linked to this paper

Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.

For agents

The same record, over MCP at https://syntology.ai/mcp:

get_harvested_code_for_paper("2510.04504")
get_code_for_paper("2510.04504")
have("2510.04504")

Connect an agent โ€” have() is free.