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RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution

RankE co-evolves discrete text-to-image policy and decoder via alternating optimization to eliminate latent covariate shift, improving both FID and CLIP scores.

Siyonng Jian, Siyuan Li, Luyuan Zhang, Zedong WANG and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 18 on Hugging Face · Code ★ 21

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 2/5