atlas

Research map / Image generation / Super-resolution

Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks

AAAI 2017 · Image generation › Super-resolution · approach: CNN and transformer SR architectures · 116 citations (OpenAlex)

Read the paperCheck 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
TDN (multi-STN upsampling + discriminator) vs prior methods with STN0 alignmentface hallucination · CelebA 8xPSNR: 4.25 dBHelped
add discriminative network to upsampling network (ablation)TDN · CelebA 8xPSNR: 0.18 dBHurt
apply multiple STNs on feature maps instead of a single STN on the LR image (ablation)TDN · CelebA 8xvisual alignment 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