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전생했더니 인공지능이었던 건에 대하여
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    JiYeop Kim

    Diffusion은 신이고 GPT는 무적이다

    • Seoul, Korea
    • GitHub
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    • 📂 전체 게시글 (690)
    • 📝 논문리뷰 (666)
      • Computer Vision (417)
      • 3D Vision (149)
      • NLP (59)
      • Audio & Speech (48)
      • RL (22)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🎮 GAME (18)

    Recent posts

    [논문리뷰] Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

    2024년 06월 06일 

    Grounding DINO 논문 리뷰 (ECCV 2024)

    Tags: Computer Vision, ECCV, Microsoft, Object Detection, Transformer

    [논문리뷰] Visual Instruction Tuning

    2024년 06월 04일 

    LLaVA 논문 리뷰 (NeurIPS 2023 Oral)

    Tags: Computer Vision, Large Multimodal Model, Microsoft, NeurIPS, NLP

    [논문리뷰] ConsiStory: Training-Free Consistent Text-to-Image Generation

    2024년 06월 02일 

    ConsiStory 논문 리뷰 (SIGGRAPH 2024)

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

    [논문리뷰] VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

    2024년 05월 31일 

    VideoCrafter2 논문 리뷰 (CVPR 2024)

    Tags: Computer Vision, CVPR, Diffusion, Text-to-Video

    [논문리뷰] Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation

    2024년 05월 29일 

    DragNoise 논문 리뷰 (CVPR 2024)

    Tags: Computer Vision, CVPR, Diffusion, Image Editing

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