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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 (794)
    • 📝 논문리뷰 (748)
      • Computer Vision (454)
      • 3D Vision (190)
      • NLP (62)
      • Audio & Speech (48)
      • RL (27)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🎮 GAME (40)

    Recent posts

    [논문리뷰] Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention into Convolutions

    2026년 01월 20일 

    ∆ConvFusion 논문 리뷰 (ICCV 2025)

    Tags: Computer Vision, Diffusion, Distillation, ICCV, Image Generation

    [논문리뷰] Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think

    2026년 01월 18일 

    REG 논문 리뷰 (NeurIPS 2025 Oral)

    Tags: Computer Vision, Diffusion, DiT, Image Generation, NeurIPS

    [PC] 리듬 닥터

    2026년 01월 17일 

    Rhythm Doctor - 100% 클리어

    Tags: Game

    [논문리뷰] Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

    2026년 01월 16일 

    Guidance Interval 논문 리뷰 (NeurIPS 2024)

    Tags: Computer Vision, Diffusion, Image Generation, NeurIPS, NVIDIA

    [논문리뷰] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

    2026년 01월 14일 

    REPA 논문 리뷰 (ICLR 2025 Oral)

    Tags: Computer Vision, Diffusion, DiT, ICLR, Image Generation

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