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@LowLevelAI

LowLevelAI

README.md

👁️‍🗨️ Intelligent Low-level Visual Enhancement in the AI Era

🔖 Aiming at intelligent low-level algorithms

⭐ Low-level Visual Enhancement | Multi-Modality Large Language Models | AIGC Enhancement

📖Main Projects

  • ① GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval [ECCV 2024]:

  • ② ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction [NeurIPS 2024]:

  • ③ Low-Light Image Enhancement via Generative Perceptual Priors [AAAI 2025]:

  • ④ LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors [CVPR 2025]:

  • ⑤ Zero-Reference Joint Low-Light Enhancement and Deblurring via Visual Autoregressive Modeling with VLM-Derived Modulation [AAAI 2026]:

Popular repositories Loading

  1. GLARE GLARE Public

    Official implementation of GLARE, which is accpeted by ECCV 2024.

    Python 131 10

  2. ECMamba ECMamba Public

    Official implementation of ECMamba, which is accpeted by NeurIPS 2024.

    Python 35 2

  3. GPP-LLIE GPP-LLIE Public

    Official implementation of GPP-LLIE, which is accpeted by AAAI 2025.

    Python 30 4

  4. LITA-GS LITA-GS Public

    The official implementation of LITA-GS, which is accepted by CVPR 2025

    Python 29 4

  5. VAR-LIDE VAR-LIDE Public

    Official implementation of VAR-LIDE, which is accpeted by AAAI 2025

    1

  6. .github .github Public

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