Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks.
Takuhiro KanekoPublished in: CVPR (2021)
Keyphrases
- natural images
- unsupervised learning
- natural scenes
- object recognition
- sparse coding
- multiscale
- image denoising
- higher order
- input image
- scale invariant
- denoising
- depth map
- supervised learning
- statistics of natural images
- test images
- image patches
- receptive fields
- natural image statistics
- compressed sensing
- image statistics
- computer vision
- high quality
- power spectrum
- prior models
- conditional random fields
- low level vision tasks
- visual cortex
- computer graphics
- image restoration
- dimensionality reduction
- training set
- face recognition