Visual equivalence: towards a new standard for image fidelity

By Ganesh Ramanarayanan, James A. Ferwerda, Bruce Walter, Kavita Bala. 2007

196 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

1. Richard Zhang
2. Phillip Isola
3. Alexei A. Efros
4. C.-C. Jay Kuo
5. Eli Shechtman
6. Jun-Yan Zhu
7. Joan Bruna

In Computer Vision and Pattern Recognition

1. Richard Zhang
2. Alexei A. Efros
3. Dacheng Tao
4. Luc Van Gool
5. Phillip Isola
6. Trevor Darrell
7. Ming-Hsuan Yang
8. Jitendra Malik

Citations in the corpus

• Colorful Image Colorization (2016, background): “Evaluating the quality of synthesized images is notoriously difficult [4].”
• Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction (2016, background): “age synthesis tasks are known to be notoriously difficult to evaluate [35] and the loss function used in [34] may not properly capture inpainting quality.”
• Perceptual visual quality metrics: A survey (2011, background): “Other relevant work can be found in [5,75,135].”