A review of recent deep learning approaches in human-centered machine learning
T Kaluarachchi, A Reis, S Nanayakkara - Sensors, 2021 - mdpi.com
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …
Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
Deep learning methods of cross-modal tasks for conceptual design of product shapes: A review
Conceptual design is the foundational stage of a design process that translates ill-defined
design problems into low-fidelity design concepts and prototypes through design search …
design problems into low-fidelity design concepts and prototypes through design search …
A parse-then-place approach for generating graphic layouts from textual descriptions
Creating layouts is a fundamental step in graphic design. In this work, we propose to use text
as the guidance to create graphic layouts, ie, Text-to-Layout, aiming to lower the design …
as the guidance to create graphic layouts, ie, Text-to-Layout, aiming to lower the design …
Modern evolution strategies for creativity: Fitting concrete images and abstract concepts
Evolutionary algorithms (ES) have been used in the digital art scene since the 1970s. A
popular application of genetic algorithms is to optimize the procedural placement of vector …
popular application of genetic algorithms is to optimize the procedural placement of vector …
Semi-transductive learning for generalized zero-shot sketch-based image retrieval
Sketch-based image retrieval (SBIR) is an attractive research area where freehand sketches
are used as queries to retrieve relevant images. Existing solutions have advanced the task …
are used as queries to retrieve relevant images. Existing solutions have advanced the task …
Painter: Teaching Auto-regressive Language Models to Draw Sketches
R Pourreza, A Bhattacharyya… - Proceedings of the …, 2023 - openaccess.thecvf.com
Large language models (LLMs) have made tremendous progress in natural language
understanding and they have also been successfully adopted in other domains such as …
understanding and they have also been successfully adopted in other domains such as …
Artinter: AI-Powered Boundary Objects for Commissioning Visual Arts
When commissioning visual art, clients and artists communicate to agree on what is to be
created. This often requires bridging a language gap in how they conceive art. To arrive at a …
created. This often requires bridging a language gap in how they conceive art. To arrive at a …
Scones: towards conversational authoring of sketches
Iteratively refining and critiquing sketches are crucial steps to developing effective designs.
We introduce Scones, a mixed-initiative, machine-learning-driven system that enables users …
We introduce Scones, a mixed-initiative, machine-learning-driven system that enables users …
Exploring local detail perception for scene sketch semantic segmentation
In this paper, we aim to explore the fine-grained perception ability of deep models for the
newly proposed scene sketch semantic segmentation task. Scene sketches are abstract …
newly proposed scene sketch semantic segmentation task. Scene sketches are abstract …