GenMM_SIGGRAPH2023

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  • Опубликовано: 20 авг 2024
  • Example-based Motion Synthesis via Generative Motion Matching (SIGGRAPH 2023)

Комментарии • 10

  • @PasanTechArt
    @PasanTechArt Год назад +1

    Waiting for the code and blender addon. Super exciting work! 👏

    • @weiyuli7819
      @weiyuli7819  Год назад

      Sorry for the delay, we have release our Blender add on, you can try it github.com/wyysf-98/GenMM

  • @aifreeart
    @aifreeart Год назад

    wow great

  • @aayamshrestha9084
    @aayamshrestha9084 9 месяцев назад

    Awesome Work. While impressive, I was wondering if there are any new bias introduced the framework. The iterative solve approach seems to be similar to a diffusion process for motion synthesis. I did not quite understand how the Motion completion of upper body works. Is there any prior to what upper body needed to behave or does it synthesize the upper body starting from a random configuration. How diverse can the upper body completion be ?

  • @tomhalpin8
    @tomhalpin8 Месяц назад

    Is there possibly an Unreal Engine Plugin?

  • @macitseferi1843
    @macitseferi1843 Год назад

    Can i use with maya ?

  • @GraczPierwszy
    @GraczPierwszy Год назад

    does it have any use in the real world?

    • @WeiGuo-zg7ng
      @WeiGuo-zg7ng 10 месяцев назад

      What's the use of splitting atoms? Failure to answer your own question doesn't oblige someone to provide it for you, nor does it degrade the significance of the attempt to answer a totally different question, which is what the authors did.

    • @GraczPierwszy
      @GraczPierwszy 10 месяцев назад

      @@WeiGuo-zg7ng don't mess around,
      AI + CLIMATE will explain everything to you

  • @GraczPierwszy
    @GraczPierwszy Год назад

    thanks for the info but boring