• 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 (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] Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

    2024년 12월 28일 

    Hourglass Diffusion Transformer (HDiT) 논문 리뷰 (ICML 2024)

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

    [논문리뷰] Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models

    2024년 12월 26일 

    Concept Weaver 논문 리뷰 (CVPR 2024)

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

    [논문리뷰] Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (Stable Diffusion 3)

    2024년 12월 24일 

    Stable Diffusion 3 논문 리뷰 (ICML 2024)

    Tags: Computer Vision, Diffusion, DiT, ICML, Image Generation, Text-to-Image

    [논문리뷰] Wavelet Latent Diffusion (WaLa): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings

    2024년 12월 22일 

    WaLa 논문 리뷰

    Tags: 3D Vision, Diffusion

    [논문리뷰] Make-A-Shape: a Ten-Million-scale 3D Shape Model

    2024년 12월 20일 

    Make-A-Shape 논문 리뷰 (ICML 2024)

    Tags: 3D Vision, Diffusion, ICML

    • Previous
    • 1
    • …
    • 28
    • 29
    • 30
    • 31
    • 32
    • 33
    • 34
    • …
    • 142
    • Next
    • Follow:
    • Feed
    © 2025 kimjy99. Powered by Jekyll & Minimal Mistakes.