Search Results for author:
Found 5 papers, 2 papers with code
TypeDance: Creating Semantic Typographic Logos from Image through Personalized Generation
Semantic typographic logos harmoniously blend typeface and imagery to represent semantic concepts while maintaining legibility.
The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model
Moreover, the intent expansion framework enables users to perform flexible contextualized interactions with the search results to further specify or adjust their detailed search intents iteratively.
Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model
Pictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in a manner that is both engaging and informative.
WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval
Retrieving charts from a large corpus is a fundamental task that can benefit numerous applications such as visualization recommendations. The retrieved results are expected to conform to both explicit visual attributes (e. g., chart type, colormap) and implicit user intents (e. g., design style, context information) that vary upon application scenarios.
Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets
In this paper, we propose a principled approach that supports learning from heterogeneous datasets with different label sets.
