AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 31 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This work reformulates relighting as an illumination feature transport problem and introduces Consistent Feature Transport (CFT), a training principle that explicitly enforces illumination-consistent transport between source and target image distributions.
StructGen is proposed, which employs a structured, dictionary-like format to encode multiple reference images, thereby enabling explicit and unambiguous specification of generation intentions, and consistently outperforms existing methods on both semantic alignment and detailed reference-generation consistency.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.