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20192025
most citedUnity Perception: Generate Synthetic Data for Computer Vision

72 citations · 88 across the 6 of their papers we have counts for

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10 papers · 1 filter

cs.CV2025

ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation

Zhen Li, Duan Li, Yukai Guo +9

Infographic charts are a powerful medium for communicating abstract data by combining visual elements (e.g., charts, images) with textual information. However, their visual and str…

cs.CV2023

Optimisation-Based Multi-Modal Semantic Image Editing

Bowen Li, Yongxin Yang, Steven McDonagh +3

Image editing affords increased control over the aesthetics and content of generated images. Pre-existing works focus predominantly on text-based instructions to achieve desired im…

cs.CV20221 cited

Learning to Model Multimodal Semantic Alignment for Story Visualization

Bowen Li, Thomas Lukasiewicz

Story visualization aims to generate a sequence of images to narrate each sentence in a multi-sentence story, where the images should be realistic and keep global consistency acros…

cs.CV2022

Word-Level Fine-Grained Story Visualization

Bowen Li, Thomas Lukasiewicz

Story visualization aims to generate a sequence of images to narrate each sentence in a multi-sentence story with a global consistency across dynamic scenes and characters. Current…

cs.CV20222 cited

Lightweight Long-Range Generative Adversarial Networks

Bowen Li, Thomas Lukasiewicz

In this paper, we introduce novel lightweight generative adversarial networks, which can effectively capture long-range dependencies in the image generation process, and produce hi…

cs.CV202172 cited

Unity Perception: Generate Synthetic Data for Computer Vision

Steve Borkman, Adam Crespi, Saurav Dhakad +12

We introduce the Unity Perception package which aims to simplify and accelerate the process of generating synthetic datasets for computer vision tasks by offering an easy-to-use an…