Good Papers

Showing papers from The Hong Kong Polytechnic Univ Show all papers

57%Worth a look
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NeurIPS 2026The Hong Kong PolytechnicHong Kong PolytechnicThe Hong Kong Polytechnic UnivDiffusion models

Phase-wise Velocity Distillation: Towards Effective Image Generation with A Single NFE

Zhen Guo, Rongyuan Wu, Qiaosi Yi, Chenxi Xie and 2 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Hong Kong PolytechnicThe Hong Kong Polytechnic UnivTokenization

BitMTP: When Multi-Token Prediction Meets Low-Bit Large Language Models

Ning Zhang, Shihao Wang, Jinrui Zhang, Chaodong Xiao and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Hong Kong PolytechnicThe Hong Kong Polytechnic UnivImage restoration

MESS: Multi-Exposure Sequence Synthesis for Generalizable Image Enhancement

Ruodai Cui, Shuaizheng Liu, Rongyuan Wu, Lei Zhang

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

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Hong Kong PolytechnicGuangdong OPPO Mobile TelecommunThe Hong Kong PolytechnicOPPO Research InstituteThe Hong Kong Polytechnic UnivLLM agents & planning

AURA: An Autonomous Retouching Agent with Photographic Visual Thinking

Shuaizheng Liu, Fangzhou Han, Jiarong Liao, Yujing Sun and 7 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
88%Must read
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NeurIPS 2026Hong Kong PolytechnicPolyU, HKThe Hong Kong Polytechnic Univ3D vision & reconstruction

DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images

DepthMaster unifies monocular metric depth estimation for perspective and panoramic images via patch decomposition, a correspondence consistency loss, and virtual projection priors, achieving state-of-the-art zero-shot results across 13 datasets.

Pengfei Wang, Shihao Wang, liyi chen, Zhiyuan Ma and 2 more

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 3/5
71%Highly rated
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NeurIPS 2026Hong Kong PolytechnicThe Hong Kong Polytechnic UnivAutoregressive generation

NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution

NSARM uses two-stage next-scale autoregressive modeling for real-world super-resolution, achieving robust, fast, high-quality results across varying degradations.

Xiangtao Kong, Rongyuan Wu, Shuaizheng Liu, Lingchen Sun and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
78%Highly rated
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NeurIPS 2026National University of SingaporeNanyang TechnologicalTsinghuaGuangdong OPPO Mobile TelecommunDepartment of Computer Science, Image recognition

Tool-IQA: Augmenting Image Quality Assessment with Simple Tools

Tool-IQA equips vision-language models with magnifier and gamma corrector tools for local inspection and calibrated image quality scoring, significantly outperforming state-of-the-art models.

Guanyi Qin, Junjie Zhang, Chunming He, Yibing Fu and 3 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5