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carpedkm/README.md

Hi there 👋

  • I am currently working on controllable image and video generative models.

  • I am currently affilitated in SNU CSE and Adobe Research.

  • I previously worked at Microsoft and Sony AI.

  • I am interested in, but not limited to: generative models, multi-modal / video understanding.

  • For more details, visit my homepage.

  • I am open to discuss, collaborate on topics above. Feel free to reach out!

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  1. SNU-VGILab/improving-editability SNU-VGILab/improving-editability Public

    [Official Implementation] Improving Editability in Image Generation with Layer-wise Memory, CVPR 2025

    Python 38 2

  2. disentangled-subject-to-vid disentangled-subject-to-vid Public

    Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute

    Python 59

  3. CustoMDiT CustoMDiT Public

    PexelsCustom-1M: A Comprehensive Ecosystem for Open-Domain Customized Video Generation

    Python 19

  4. RCEdit-500K RCEdit-500K Public

    [ECCV 2026] RCEdit-500K: Reference Completion for Image-Conditioned Image Editing

    Python

  5. PiX PiX Public

    Forked from ashishkumar822/PiX

    PiX: Dynamic Channel Sampling for ConvNets (CVPR 2024)

    Python 1

  6. cmota cmota Public

    Forked from yonseivnl/cmota

    Story Visualization by Online Text Augmentation with Context Memory, ICCV'23

    Python 1