• Skip to primary navigation
  • Skip to content
  • Skip to footer
전생했더니 인공지능이었던 건에 대하여
  • Tags

    JiYeop Kim

    Diffusion은 신이고 GPT는 무적이다

    • Seoul, Korea
    • GitHub
    • Email
    • 📂 전체 게시글 (629)
    • 📝 논문리뷰 (619)
      • Computer Vision (401)
      • 3D Vision (129)
      • Audio & Speech (48)
      • NLP (49)
      • RL (15)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🔥 AI소식 (4)

    Recent posts

    [논문리뷰] Personalize Segment Anything Model with One Shot (PerSAM)

    2023년 09월 05일 

    PerSAM 논문 리뷰

    Tags: Computer Vision, Diffusion, Image Segmentation, Personalization

    [논문리뷰] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

    2023년 09월 04일 

    Promptist 논문 리뷰 (ICCV 2023)

    Tags: 3D Vision, Diffusion, ICCV, Image-to-3D, Microsoft, Text-to-3D

    [논문리뷰] Optimizing Prompts for Text-to-Image Generation (Promptist)

    2023년 09월 03일 

    Promptist 논문 리뷰 (NeurIPS 2023)

    Tags: Computer Vision, Diffusion, Microsoft, NeurIPS, Reinforcement Learning, Text-to-Image

    [논문리뷰] Multi-Concept Customization of Text-to-Image Diffusion (Custom Diffusion)

    2023년 09월 02일 

    Custom Diffusion 논문 리뷰 (CVPR 2023)

    Tags: Computer Vision, CVPR, Diffusion, Personalization, Text-to-Image

    [논문리뷰] Zero-1-to-3: Zero-shot One Image to 3D Object

    2023년 09월 01일 

    Zero-1-to-3 논문 리뷰 (ICCV 2023)

    Tags: Computer Vision, Diffusion, ICCV, Image-to-3D, Image-to-Image Translation

    • Previous
    • 1
    • …
    • 74
    • 75
    • 76
    • 77
    • 78
    • 79
    • 80
    • …
    • 126
    • Next
    • Follow:
    • Feed
    © 2025 kimjy99. Powered by Jekyll & Minimal Mistakes.