Giter VIP home page Giter VIP logo

Comments (3)

PeizhuoLi avatar PeizhuoLi commented on July 3, 2024

Yes, you'll need to train new models for new character.

from deep-motion-editing.

DetectiveLYJ avatar DetectiveLYJ commented on July 3, 2024

@PeizhuoLi
Well, I see that "We use group A to train the network on 20 characters and test it on 4 (unseen) ones." in the paper. I have the following questions:

  1. If I use the same number of bones for all the characters in Group A, and the number of bones in group B is all the same. But the number of bones in A and B is different. Is it possible to use characters not seen in the training set for testing? (the number of bones is consistent with the training set, but the body proportions are not consistent)

  2. While I'm training, can each character in Group B just input one stationary pose? And can each character in Group A just input one motion(this motion is for testing later)?

  3. When groups A and B have the same number of bones for each character, can we do retarget on characters(have the same number of bones with A and B) that are not in the training sets?

Looking forward to your reply!

from deep-motion-editing.

PeizhuoLi avatar PeizhuoLi commented on July 3, 2024
  1. It's possible to test on unseen characters, like our experiments. But our experiments also suggests even with same topology, when the rest poses are too different it could fail (see the money and dog example in our paper / video).

  2. No. You'll need motion for both characters to train the network.

  3. I think the answer is almost the same as (1). If the gap between test set and training set is not very large, it should work.

from deep-motion-editing.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.