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전생했더니 인공지능이었던 건에 대하여
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    JiYeop Kim

    Diffusion은 신이고 GPT는 무적이다

    • Seoul, Korea
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    • 📂 전체 게시글 (628)
    • 📝 논문리뷰 (618)
      • Computer Vision (401)
      • 3D Vision (128)
      • Audio & Speech (48)
      • NLP (49)
      • RL (15)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🔥 AI소식 (4)

    Recent posts

    [논문리뷰] OneFormer: One Transformer to Rule Universal Image Segmentation

    2023년 10월 28일 

    OneFormer 논문 리뷰 (CVPR 2023)

    Tags: Computer Vision, Contrastive Learning, CVPR, Image Segmentation, Transformer

    [논문리뷰] RealFill: Reference-Driven Generation for Authentic Image Completion

    2023년 10월 27일 

    RealFill 논문 리뷰 (SIGGRAPH 2024)

    Tags: Computer Vision, Diffusion, Fine-Tuning, Google, LoRA, Personalization, SIGGRAPH

    [논문리뷰] Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

    2023년 10월 26일 

    Feature Distillation 논문 리뷰

    Tags: Computer Vision, Contrastive Learning, Distillation, Fine-Tuning, Microsoft

    [논문리뷰] BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

    2023년 10월 25일 

    BLIP-Diffusion 논문 리뷰

    Tags: Computer Vision, Diffusion, Personalization, Text-to-Image

    [논문리뷰] Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

    2023년 10월 24일 

    Mask DINO 논문 리뷰 (CVPR 2023)

    Tags: Computer Vision, CVPR, Image Segmentation, Object Detection, Transformer

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