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NeurIPS 2026KoreaSeoul NationalKTText-to-image

FiRe: Fine-grained Multimodal Reasoning for Enhanced Image Generation

FiRe improves image generation via fine-grained multimodal reasoning that decomposes prompts, self-checks visual requirements, and applies localized refinement, with FiRe-GRPO providing step-level reinforcement learning rewards.

Yongjin Kim, Yoonjin Oh, Ye Rin Kim, Hyomin Kim and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 2

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lenient 4/5
medium 5/10
strict 0/5
74%Highly rated
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NeurIPS 2026HanyangKTKT CorporationHanyang UniverstyHanyang Univ.Image restoration

ODDR: One-Step Deshadow Diffusion via Reward Guidance

ODDR achieves efficient, high-fidelity shadow removal without real-world paired supervision via one-step diffusion guided by a synthetic, annotation-free ShadowReward model, approaching fully supervised performance.

Junseong Shin, Kijun Kim, Minseong Kim, Dongjin Kim and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5