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Found 6 papers, 2 papers with code
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering
We present Answer-Me, a task-aware multi-task framework which unifies a variety of question answering tasks, such as, visual question answering, visual entailment, visual reasoning.
FindIt: Generalized Localization with Natural Language Queries
We propose FindIt, a simple and versatile framework that unifies a variety of visual grounding and localization tasks including referring expression comprehension, text-based localization, and object detection.
SyntheticFur dataset for neural rendering
We introduce a new dataset called SyntheticFur built specifically for machine learning training.
Learning via social awareness: Improving a deep generative sketching model with facial feedback
We use a Latent Constraints GAN (LC-GAN) to learn from the facial feedback of a small group of viewers, by optimizing the model to produce sketches that it predicts will lead to more positive facial expressions.
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
Style transfer usually refers to the task of applying color and texture information from a specific style image to a given content image while preserving the structure of the latter.
Improving image generative models with human interactions
GANs provide a framework for training generative models which mimic a data distribution.
