Coho: Context-sensitive city-scale hierarchical urban layout generation

L He, D Aliaga - European Conference on Computer Vision, 2025 - Springer
The generation of large-scale urban layouts has garnered substantial interest across various
disciplines. Prior methods have utilized procedural generation requiring manual rule coding …

Diffusion-based document layout generation

L He, Y Lu, J Corring, D Florencio, C Zhang - International Conference on …, 2023 - Springer
We develop a diffusion-based approach for various document layout sequence generation.
Layout sequences specify the contents of a document design in an explicit format. Our novel …

GlobalMapper: Arbitrary-Shaped Urban Layout Generation

L He, D Aliaga - Proceedings of the IEEE/CVF International …, 2023 - openaccess.thecvf.com
Modeling and designing urban building layouts is of significant interest in computer vision,
computer graphics, and urban applications. A building layout consists of a set of buildings in …

Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation

L He, Y Song, H Huang, D Aliaga, X Zhou - arXiv preprint arXiv …, 2024 - arxiv.org
Text-to-video generation has been dominated by end-to-end diffusion-based or
autoregressive models. On one hand, those novel models provide plausible versatility, but …

Dynamic context-driven progressive image inpainting with auxiliary generative units

Z Wang, K Li, J Peng - The Visual Computer, 2024 - Springer
Image inpainting aims to restore missing or damaged regions of an image with plausible
visual content. Most existing methods always face challenges when dealing with large hole …

CleftLipGAN: Interactive GAN-Inpainting for Post-Operative Cleft Lip Reconstruction

DA Atputharuban, C Theopold… - Proceedings of the …, 2024 - openaccess.thecvf.com
Synthetic generation of post-surgical outcomes holds significant value in the clinical domain,
particularly for Cleft lip and Palate surgery. These synthetic images can be utilized for …

Locally Conditioned GANs: Self-Supervised Local Patch Representation Learning for Conditional Generation

D Kim, H Shim - IEEE Access, 2024 - ieeexplore.ieee.org
Existing conditional generation models using generative adversarial networks (GANs) suffer
from two common limitations: 1) they heavily rely on supervision, or 2) their performance is …