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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 (959)
    • 📝 논문리뷰 (887)
      • Computer Vision (502)
      • 3D Vision (246)
      • NLP (92)
      • Audio & Speech (48)
      • RL (46)
      💻 구현 / 프로그래밍 (5) 📒 공부 (2) 🎮 GAME (65)

    Recent posts

    [논문리뷰] Training Diffusion Models with Reinforcement Learning

    2026년 11월 10일 

    DDPO 논문 리뷰 (ICLR 2024)

    Tags: Computer Vision, Diffusion, ICLR, Image Generation, Reinforcement Learning

    [논문리뷰] DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation

    2026년 11월 08일 

    DeCo 논문 리뷰 (CVPR 2026 Highlight)

    Tags: Computer Vision, CVPR, Diffusion, Image Generation

    [논문리뷰] MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation

    2026년 11월 06일 

    MakeAnything 논문 리뷰 (CVPR 2026)

    Tags: Computer Vision, CVPR, Diffusion, DiT

    [논문리뷰] GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation

    2026년 11월 04일 

    GeoSAM2 논문 리뷰 (CVPR 2026)

    Tags: 3D Vision, CVPR

    [논문리뷰] LATTICE: Democratize High-Fidelity 3D Generation at Scale

    2026년 11월 02일 

    LATTICE 논문 리뷰 (CVPR 2026)

    Tags: 3D Vision, CVPR, Diffusion, DiT, Mesh Generation

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