Good Papers

Showing papers from HKUST, Guangzhou NVIDIA Show all papers

78%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026The Hong Kong University of ScieHKUST, Guangzhou NVIDIAHKUSTHong Kong University of Science Flow matching

LucidNFT: LR-Anchored Multi-Reward Preference Optimization for Flow-Based Real-World Super-Resolution

LucidNFT improves flow-based real-world super-resolution via LR-anchored multi-reward preference optimization that reduces hallucinations while preserving perceptual quality.

Song Fei, Tian Ye, Sixiang Chen, Zhaohu Xing and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
74%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026HKUSTHong Kong University of Science HKUST, Guangzhou NVIDIAThe Hong Kong University of ScieXiamenText-to-image

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation

GenEvolve is a self-evolving image-generation agent that uses tool-orchestrated visual experience distillation to improve tool use and achieve state-of-the-art results.

Sixiang Chen, Zhaohu Xing, Tian Ye, Xinyu Geng and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 14 on Hugging Face · Code ★ 103

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

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