AI Paper Atlas

Research map / 3D vision / Face and shape

Adversarial Texture Optimization From RGB-D Scans

CVPR 2020 · 3D vision › Face and shape · approach: Generative textures for 3D humans · 52 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
use the conditional adversarial texture objective instead of L1RGB-D texture optimization · Synthetic 2D examplenearest patch loss: 7.33 -> 1.53Helped
use the conditional adversarial texture objective instead of L1RGB-D texture optimization · Synthetic 2D exampleexact patch loss: 10.7 -> 11.3Hurt
use adversarial texture optimization instead of the strongest baseline, 3DLiteRGB-D texture optimization · Real object scansperceptual loss: 0.185 -> 0.175Helped
use adversarial texture optimization instead of the strongest baseline, 3DLiteRGB-D texture optimization · ScanNetperceptual loss: 0.445 -> 0.395Helped
use adversarial texture optimization instead of the strongest baseline, L1RGB-D texture optimization · CAD modelsperceptual loss: 0.199 -> 0.176Helped
remove the auxiliary view from discriminator training (ablation)conditional adversarial texture optimization · misalignment-tolerant discriminator evaluationmisalignment toleranceHurt
remove the condition from the discriminator (ablation)conditional adversarial texture optimization · local patch evaluationlocal patch disambiguationHurt
train the discriminator with more than 25 input frames (ablation)conditional adversarial texture optimization · sparse-view scanstexture qualityHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy