Giter VIP home page Giter VIP logo

Comments (5)

m-niemeyer avatar m-niemeyer commented on August 27, 2024 1

Hi @chenhsuanlin , thanks for your interest in the project!

I hope I understood you correctly that you are just interested in the final result tables? If so, you can find the tables you asked for on page 10 of our supplementary material.

Regarding the Chamfer distance, you are right that we use the Euclidean distance for the distance between two points, and then add accuracy and completeness without squaring them. the L1 / L2 is rather referring to the "loss" at the end, so if you take the "l2 loss" (x^2) or the "l1 loss" (abs(x)), and we are taking the l1 loss.

I hope this helps - good luck with your research!

from differentiable_volumetric_rendering.

chenhsuanlin avatar chenhsuanlin commented on August 27, 2024

Yes this is what I was looking for, I didn't realize it was in the supp material. Thanks!

from differentiable_volumetric_rendering.

chenhsuanlin avatar chenhsuanlin commented on August 27, 2024

Hi @m-niemeyer, I have a quick follow-up question: are the reported chamfer distance numbers scaled?
As I understand, the shapes are normalized to fit unit cubes (between [-0.5,0.5] in xyz), so errors in the order of 0.2 or 0.3 would be extremely large. (I'm guessing it's scaled by 10?)
Thanks!

from differentiable_volumetric_rendering.

m-niemeyer avatar m-niemeyer commented on August 27, 2024

Hi @chenhsuanlin , yes, you are right - they multiplied by a factor of 10!

We follow previous works here to use "use 1/10 times the maximal edge length of the current object’s bounding box as unit 1" (see Section 4 - Metrics).

from differentiable_volumetric_rendering.

chenhsuanlin avatar chenhsuanlin commented on August 27, 2024

Thanks for the clarification!

from differentiable_volumetric_rendering.

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.