Search Results for author:
Found 3 papers, 2 papers with code
Story Visualization by Online Text Augmentation with Context Memory
Story visualization (SV) is a challenging text-to-image generation task for the difficulty of not only rendering visual details from the text descriptions but also encoding a long-term context across multiple sentences.
L-Verse: Bidirectional Generation Between Image and Text
Unlike other models, BiART can distinguish between image (or text) as a conditional reference and a generation target.
Ranked #1 on
Image Reconstruction
on ImageNet 256x256
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation
In this paper, we propose an automatic seed generation technique with deep reinforcement learning to solve the interactive segmentation problem.
