Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
Explore this paper's citation graph
Summary
A novel CNN-based image editing method that allows the user to change the semantic information of an image over a user-specified region by combining the idea of manifold projection with spatial conditional batch normalization (sCBN), a version of conditionalbatch normalization with user-specifiable spatial weight maps.
- Type
- article
- Published
- 2018-11-26
- Cited by
- 5
- References
- 46
- Access
- Open access
- OpenAlex
- https://openalex.org/W2901627289
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:53757566
Keywords
Normalization (sociology), Computer science, Artificial intelligence, Pattern recognition (psychology), Feature (linguistics)
References
- The Caltech-UCSD Birds-200-2011 Dataset
- Auto-Encoding Variational Bayes
- Poisson image editing
- Conditional Generative Adversarial Nets
- Generating Images with Perceptual Similarity Metrics based on Deep Networks
- Pixel-Level Domain Transfer
- Context Encoders: Feature Learning by Inpainting
- Let there be color!
- Neural Photo Editing with Introspective Adversarial Networks
- Automated Flower Classification over a Large Number of Classes
- A Learned Representation For Artistic Style
- Image-to-Image Translation with Conditional Adversarial Networks
- Scribbler: Controlling Deep Image Synthesis with Sketch and Color
- Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization
- Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
- DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
- Globally and locally consistent image completion
- Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks
- FiLM: Visual Reasoning with a General Conditioning Layer
- Eye In-painting with Exemplar Generative Adversarial Networks
Cited by
- Unsupervised Object-Level Image-to-Image Translation Using Positional Attention Bi-Flow Generative Network
- Interactive Subspace Exploration on Generative Image Modelling
- IIT-GAT: Instance-level image transformation via unsupervised generative attention networks with disentangled representations
- We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision
- Where you edit is what you get: Text-guided image editing with region-based attention
Related papers
- Semantic Image Analogy with a Conditional Single-Image GAN
- Text to Image Generation with Semantic-Spatial Aware GAN
- EditGAN: High-Precision Semantic Image Editing
- Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
- Boosted random contextual semantic space based representation for visual recognition