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@PolyU-VCLab

PolyU-VCLab

Visual Computing Lab, The Hong Kong Polytechnic University

Welcome to the Visual Computing Lab at HK PolyU 👋

The Visual Computing Lab at The Hong Kong Polytechnic University, led by Prof. Lei Zhang, works on image/video restoration and quality assessment, multimodal perception and reasoning, image/video synthesis, 3D perception and generation, efficient architectures and training, as well as benchmarks and datasets.

Here we share our projects, code, models, benchmarks, datasets, and demos.

𝕏 X • 🤗 Hugging Face • 📕 Xiaohongshu


🔥 Research Areas and Representative Works

🖼️ Image / Video Restoration, Enhancement and Quality Assessment

Real-world image and video restoration, enhancement, super-resolution, and perceptual quality assessment.

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

🤖 Multimodal Perception, Understanding and Reasoning

MLLM-based visual perception, grounding, OOD detection, dense understanding, and multimodal reasoning.

2026

2025

2024

🎨 Image and Video Synthesis and Generation

Efficient, controllable, and high-quality generative models for image synthesis, editing, and video generation.

2026

2025

2024

2023

2022

🌍 3D Perception, Reconstruction and Generation

3D reconstruction, scene generation, and versatile 3D editing from images, videos, and language prompts.

2026

2025

2024

2023

⚡ Architecture and Training Paradigms

New model architectures and efficient training paradigms for vision models, diffusion transformers, LLMs, and VLMs.

2026

2025

2024

2023

2022

2020

  • Gradient Centralization (ECCV 2020) — Paper | Code
  • SA-SSD (CVPR 2020) — Paper | Code

2018

📊 Benchmarks and Datasets

Benchmarks and datasets for rigorous evaluation and reproducible progress in visual computing.

2026

2023

2021

2019


📚 More

For a broader list of our papers, models, and datasets, please visit our Hugging Face Collections.

If you are interested in our work, welcome to follow the organization and star our repositories ⭐

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  1. GGT-100K GGT-100K Public

    GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration

    Python 74 5

  2. OpenOOD-VLM OpenOOD-VLM Public

    ECCV24, NeurIPS24, CVPR26*2, ECCV26, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models

    Python 60 10

  3. DepthMaster DepthMaster Public

    [NeurIPS 2026] DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images

    Python 27

  4. WRC WRC Public

    Weighted Reverse Convolution for Feature Upsampling

    Python 26 1

  5. TVEdit TVEdit Public

    23

  6. HarnessIR HarnessIR Public

    HarnessIR: Harnessing Multimodal Foundation Models for Universal Real-World Image Restoration

    Python 14

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Showing 10 of 12 repositories

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