Daniel G. Aliaga
Computer Science · Purdue University West Lafayette
Publications
191
Citations
5,100
Est. group size
~6
Recurring co-author estimate
Active years
36
Publishing since 1991
Daniel G. Aliaga's research focuses on computer graphics and computer vision, particularly generating and editing realistic images, 3D city layouts, and building models using techniques like generative adversarial networks (GANs) and diffusion models. Much of the work applies these methods to urban modeling tasks, such as reconstructing buildings and city layouts from satellite imagery, as well as broader image synthesis and editing problems like compositing objects into scenes. Students in this area would work on machine learning methods for visual content creation, often applied to large-scale urban and architectural data.
Publication output has remained fairly steady over the last decade, generally ranging between 4 and 10 papers per year with a slight increase in more recent years (2022-2024).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models
arXiv (Cornell University) · 2025
- IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
2024
- COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation
Lecture notes in computer science · 2024
- EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control
Lecture notes in computer science · 2024
- IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
arXiv (Cornell University) · 2024
- COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation
arXiv (Cornell University) · 2024
- Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment
arXiv (Cornell University) · 2024
- CubeGAN: Omnidirectional Image Synthesis Using Generative Adversarial Networks
Computer Graphics Forum · 2023
- ObjectStitch: Object Compositing with Diffusion Model
2023
- GlobalMapper: Arbitrary-Shaped Urban Layout Generation
2023
- Predicting Urban Heat Island Mitigation with Random Forest Regression in Belgian Cities
The urban book series · 2023
- GlobalMapper: Arbitrary-Shaped Urban Layout Generation
arXiv (Cornell University) · 2023
- RFCNet: Enhancing urban segmentation using regularization, fusion, and completion
Computer Vision and Image Understanding · 2022
- Procedural Roof Generation From a Single Satellite Image
Computer Graphics Forum · 2022
- Guided pluralistic building contour completion
The Visual Computer · 2022
- arXiv (Cornell University)×9
- Zenodo (CERN European Organization for Nuclear Research)×7
- Computer Graphics Forum×6
- ACM Transactions on Graphics×4
- The Visual Computer×3
- Steve Cutchin
Computer Science · Purdue University West Lafayette
- Lifan Wu
Computer Science · Purdue University West Lafayette
- Bedřich Beneš
Computer Science · Purdue University West Lafayette
- Xavier Tricoche
Computer Science · Purdue University West Lafayette
- Roger Crawfis
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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