• 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 (640)
    • 📝 논문리뷰 (630)
      • Computer Vision (404)
      • 3D Vision (136)
      • Audio & Speech (48)
      • NLP (50)
      • RL (15)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🔥 AI소식 (4)

    Recent posts

    [논문리뷰] Language Model Beats Diffusion - Tokenizer is Key to Visual Generation (MAGVIT-v2)

    2023년 12월 19일 

    MAGVIT-v2 논문 리뷰 (ICLR 2024)

    Tags: Computer Vision, Google, ICLR, Image Generation, Transformer, Video Generation

    [논문리뷰] ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

    2023년 12월 18일 

    ProlificDreamer 논문 리뷰 (NeurIPS 2023 Spotlight)

    Tags: 3D Vision, Diffusion, NeurIPS, Text-to-3D

    [논문리뷰] PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model

    2023년 12월 17일 

    PP-LiteSeg 논문 리뷰

    Tags: Computer Vision, Image Segmentation

    [논문리뷰] AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

    2023년 12월 16일 

    AnimateDiff 논문 리뷰 (ICLR 2024)

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

    [논문리뷰] Multi-view Self-supervised Disentanglement for General Image Denoising (MeD)

    2023년 12월 15일 

    MeD 논문 리뷰 (ICCV 2023)

    Tags: Computer Vision, ICCV, Image Restoration

    • Previous
    • 1
    • …
    • 55
    • 56
    • 57
    • 58
    • 59
    • 60
    • 61
    • …
    • 128
    • Next
    • Follow:
    • Feed
    © 2025 kimjy99. Powered by Jekyll & Minimal Mistakes.