Papers Conditional Image Generation
“Conditional Image Generation” 태그가 달린 논문 327편 · 필터 해제
Conditional Image Synthesis With Auxiliary Classifier GANs
Synthesizing high resolution photorealistic images has been a long-standing challenge in machine learning. In this paper we introduce new methods for the improved training of generative adversarial networks (GANs) for im…
Conditional Image GenerationDiversityImage GenerationImage Quality AssessmentDeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
In this work, we consider the task of generating highly-realistic images of a given face with a redirected gaze. We treat this problem as a specific instance of conditional image generation and suggest a new deep archite…
Conditional Image GenerationImage GenerationResynthesisConditional Image Generation with PixelCNN Decoders
This work explores conditional image generation with a new image density model based on the PixelCNN architecture. The model can be conditioned on any vector, including descriptive labels or tags, or latent embeddings cr…
Conditional Image GenerationDecoderDensity EstimationDescriptive+1Improved Techniques for Training GANs
We present a variety of new architectural features and training procedures that we apply to the generative adversarial networks (GANs) framework. We focus on two applications of GANs: semi-supervised learning, and the ge…
Conditional Image GenerationImage GenerationSemi-Supervised Image ClassificationPixel-Level Domain Transfer
We present an image-conditional image generation model. The model transfers an input domain to a target domain in semantic level, and generates the target image in pixel level. To generate realistic target images, we emp…
Conditional Image GenerationImage GenerationAttribute2Image: Conditional Image Generation from Visual Attributes
This paper investigates a novel problem of generating images from visual attributes. We model the image as a composite of foreground and background and develop a layered generative model with disentangled latent variable…
AttributeConditional Image GenerationImage GenerationImage ReconstructionUnsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications. Comparatively, unsupervised learning with CNNs has received less attention. In this work we …
Conditional Image GenerationImage ClusteringRepresentation Learning