Turn 2D Images to 3D Normals with Python + DSINE (Live Session)

แชร์
ฝัง
  • เผยแพร่เมื่อ 28 ก.ย. 2024
  • This is a session to turn 2D Images to 3D Normals, Hands-on.
    🍇 RESOURCES
    All Material (.pdf, dataset, slides): learngeodata.e...
    3D Point Cloud Feature Extraction with Python:
    - Part 1: • 3D Point Cloud Feature...
    - Part 2: • How to Build a 3D Inte...
    3D Tutorial Series: learngeodata.e...
    🙋 FOLLOW ME
    Linkedin: / florent-poux-point-cloud
    Medium: / florentpoux
    Github: github.com/flo...
    Research: scholar.google...
    WHO AM I?
    If we haven’t yet before - Hey 👋 I’m Florent, a professor-turned-entrepreneur, and I’ve somehow become one of the most-followed 3D expert. Through my videos here on this channel and my writing, I share evidence-based strategies and tools to help you be better coders and 3D innovators.

ความคิดเห็น • 7

  • @Tech_Alchemy
    @Tech_Alchemy 2 หลายเดือนก่อน

    Thank you so much for this amazing content @Florent, most of what you share I look to implement in VR, AR creation pipeline.

    • @FlorentPoux
      @FlorentPoux  18 วันที่ผ่านมา

      Thanks! Beautiful, I look forward to seeing your creations!

  • @alejandroibarra8335
    @alejandroibarra8335 3 หลายเดือนก่อน

    Amazing!!

  • @idunno-uq9sl
    @idunno-uq9sl 3 หลายเดือนก่อน

    Amazing videos!
    I'm wondering if you could make a guide of how to reconstruct 3D humans? I know about FLAME models and such on github!
    As a game developer, I'm trying to turn myself into a 3D character. I do have a scan of myself, but it's low quality and unusable. Looking into AI/python solutions but it's not very easy to set it up haha!

    • @FlorentPoux
      @FlorentPoux  2 หลายเดือนก่อน +1

      Thank you very much for your kind words! On the todo list :) and I will keep you posted once it is there ;)

    • @idunno-uq9sl
      @idunno-uq9sl 2 หลายเดือนก่อน

      @@FlorentPoux your videos has helped me a lot, you make very interesting content! ❤️
      Oooh looking forward to it! 😁 Thank you!