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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 (706)
    • 📝 논문리뷰 (677)
      • Computer Vision (419)
      • 3D Vision (157)
      • NLP (59)
      • Audio & Speech (48)
      • RL (23)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🎮 GAME (23)

    Recent posts

    [논문리뷰] REDUCIO! Generating 1024×1024 Video within 16 Seconds using Extremely Compressed Motion Latents

    2024년 12월 08일 

    Reducio 논문 리뷰 (ICCV 2025)

    Tags: Computer Vision, Diffusion, DiT, ICCV, Microsoft, Text-to-Video

    [논문리뷰] MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

    2024년 12월 06일 

    MonST3R 논문 리뷰 (ICLR 2025 Spotlight)

    Tags: 3D Vision, DUSt3R, Google, ICLR, Monocular Depth Estimation, Pose Estimation

    [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

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