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Projected Distribution Loss for Image Enhancement
Mauricio Delbracio, Hossein Talebi, Peyman Milanfar
Features obtained from object recognition CNNs have been widely used for measuring perceptual similarities between images. Such differentiable metrics can be used as perceptual lea…
Rank-smoothed Pairwise Learning In Perceptual Quality Assessment
Hossein Talebi, Ehsan Amid, Peyman Milanfar +1
Conducting pairwise comparisons is a widely used approach in curating human perceptual preference data. Typically raters are instructed to make their choices according to a specifi…
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study
Xiyang Luo, Hossein Talebi, Feng Yang +2
Handling digital images is almost always accompanied by a lossy compression in order to facilitate efficient transmission and storage. This introduces an unavoidable tension betwee…
Super-Resolving Commercial Satellite Imagery Using Realistic Training Data
Xiang Zhu, Hossein Talebi, Xinwei Shi +2
In machine learning based single image super-resolution, the degradation model is embedded in training data generation. However, most existing satellite image super-resolution meth…
Better Compression with Deep Pre-Editing
Hossein Talebi, Damien Kelly, Xiyang Luo +4
Could we compress images via standard codecs while avoiding visible artifacts? The answer is obvious -- this is doable as long as the bit budget is generous enough. What if the all…