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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 (724)
    • 📝 논문리뷰 (691)
      • Computer Vision (422)
      • 3D Vision (167)
      • NLP (61)
      • Audio & Speech (48)
      • RL (25)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🎮 GAME (27)

    Recent posts

    [논문리뷰] Video Depth without Video Models

    2024년 12월 04일 

    RollingDepth 논문 리뷰 (CVPR 2025)

    Tags: Computer Vision, CVPR, Diffusion, Monocular Depth Estimation

    [논문리뷰] CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models

    2024년 12월 02일 

    CAT4D 논문 리뷰

    Tags: 3D Vision, Diffusion, Gaussian Splatting, Google, Novel View Synthesis

    [논문리뷰] CAT3D: Create Anything in 3D with Multi-View Diffusion Models

    2024년 11월 30일 

    CAT3D 논문 리뷰 (NeurIPS 2024 Oral)

    Tags: 3D Vision, Diffusion, Google, NeurIPS, Novel View Synthesis

    [논문리뷰] TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters

    2024년 11월 28일 

    TokenFormer 논문 리뷰 (ICLR 2025 Spotlight)

    Tags: Google, ICLR, NLP, Transformer

    [논문리뷰] SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

    2024년 11월 26일 

    SAMURAI 논문 리뷰

    Tags: Computer Vision, Video Object Segmentation, Visual Object Tracking

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