Category-based Galaxy Image Generation via Diffusion Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Fan, Xingzhong, Tang, Hongming, Zeng, Yue, Kouwenhoven, M. B. N., Zeng, Guangquan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Generative Model for Disentangling Galaxy Photometric Parameters
por: Leung, Keen, et al.
Publicado: (2025)
por: Leung, Keen, et al.
Publicado: (2025)
Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models
por: Li, Yun Qi, et al.
Publicado: (2024)
por: Li, Yun Qi, et al.
Publicado: (2024)
Mapping Galaxy Images Across Ultraviolet, Visible and Infrared Bands Using Generative Deep Learning
por: Zaazou, Youssef, et al.
Publicado: (2025)
por: Zaazou, Youssef, et al.
Publicado: (2025)
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model
por: Fu, Mingxiang, et al.
Publicado: (2024)
por: Fu, Mingxiang, et al.
Publicado: (2024)
Intrinsic Dimension Estimation for Radio Galaxy Zoo using Diffusion Models
por: Roset, Joan Font-Quer, et al.
Publicado: (2025)
por: Roset, Joan Font-Quer, et al.
Publicado: (2025)
MARVEL: A Multi Agent-based Research Validator and Enabler using Large Language Models
por: Mukund, Nikhil, et al.
Publicado: (2026)
por: Mukund, Nikhil, et al.
Publicado: (2026)
AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy
por: Shi, Jinghang, et al.
Publicado: (2025)
por: Shi, Jinghang, et al.
Publicado: (2025)
Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models
por: Doorenbos, Lars, et al.
Publicado: (2024)
por: Doorenbos, Lars, et al.
Publicado: (2024)
Galaxy image simplification using Generative AI
por: Erukude, Sai Teja, et al.
Publicado: (2025)
por: Erukude, Sai Teja, et al.
Publicado: (2025)
Explainable machine learning workflows for radio astronomical data processing
por: Yatawatta, S., et al.
Publicado: (2026)
por: Yatawatta, S., et al.
Publicado: (2026)
Radio Galaxy Zoo: EMU -- paving the way for EMU cataloging using AI and citizen science
por: Tang, Hongming, et al.
Publicado: (2025)
por: Tang, Hongming, et al.
Publicado: (2025)
AstroCLIP: A Cross-Modal Foundation Model for Galaxies
por: Parker, Liam, et al.
Publicado: (2023)
por: Parker, Liam, et al.
Publicado: (2023)
At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models
por: Tanoglidis, Dimitrios, et al.
Publicado: (2024)
por: Tanoglidis, Dimitrios, et al.
Publicado: (2024)
Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of Concept
por: Francisco, Grégoire, et al.
Publicado: (2024)
por: Francisco, Grégoire, et al.
Publicado: (2024)
A Semi-Supervised Learning Method for the Identification of Bad Exposures in Large Imaging Surveys
por: Luo, Yufeng, et al.
Publicado: (2025)
por: Luo, Yufeng, et al.
Publicado: (2025)
Fried Parameter Estimation from Single Wavefront Sensor Image with Artificial Neural Networks
por: Smith, Jeffrey, et al.
Publicado: (2025)
por: Smith, Jeffrey, et al.
Publicado: (2025)
What is the Role of Large Language Models in the Evolution of Astronomy Research?
por: Fouesneau, Morgan, et al.
Publicado: (2024)
por: Fouesneau, Morgan, et al.
Publicado: (2024)
Energy and polarization based on-line interference mitigation in radio interferometry
por: Yatawatta, Sarod, et al.
Publicado: (2024)
por: Yatawatta, Sarod, et al.
Publicado: (2024)
Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach
por: Zhang, Yajie, et al.
Publicado: (2025)
por: Zhang, Yajie, et al.
Publicado: (2025)
Radio Astronomy in the Era of Vision-Language Models: Prompt Sensitivity and Adaptation
por: Drozdova, Mariia, et al.
Publicado: (2025)
por: Drozdova, Mariia, et al.
Publicado: (2025)
Enhancing the development of Cherenkov Telescope Array control software with Large Language Models
por: Kostunin, Dmitriy, et al.
Publicado: (2025)
por: Kostunin, Dmitriy, et al.
Publicado: (2025)
OmniSpectra: A Unified Foundation Model for Native Resolution Astronomical Spectra
por: Islam, Md Khairul, et al.
Publicado: (2026)
por: Islam, Md Khairul, et al.
Publicado: (2026)
AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload
por: Ekelund, Jonah, et al.
Publicado: (2024)
por: Ekelund, Jonah, et al.
Publicado: (2024)
Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model
por: Engel, Andrew, et al.
Publicado: (2024)
por: Engel, Andrew, et al.
Publicado: (2024)
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model
por: Drozdova, Mariia, et al.
Publicado: (2024)
por: Drozdova, Mariia, et al.
Publicado: (2024)
Open Science and Artificial Intelligence for supporting the sustainability of the SRC Network: The espSRC case
por: Garrido, J., et al.
Publicado: (2025)
por: Garrido, J., et al.
Publicado: (2025)
Determination of galaxy photometric redshifts using Conditional Generative Adversarial Networks (CGANs)
por: Garcia-Fernandez, M.
Publicado: (2025)
por: Garcia-Fernandez, M.
Publicado: (2025)
Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks
por: Garuda, Nikhil, et al.
Publicado: (2024)
por: Garuda, Nikhil, et al.
Publicado: (2024)
Galaxy Imaging with Generative Models: Insights from a Two-Models Framework
por: Campagne, Jean-Eric
Publicado: (2025)
por: Campagne, Jean-Eric
Publicado: (2025)
Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation
por: Engel, Andrew, et al.
Publicado: (2025)
por: Engel, Andrew, et al.
Publicado: (2025)
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data
por: Truong, Tuan, et al.
Publicado: (2025)
por: Truong, Tuan, et al.
Publicado: (2025)
InferA: A Smart Assistant for Cosmological Ensemble Data
por: Tam, Justin Z., et al.
Publicado: (2025)
por: Tam, Justin Z., et al.
Publicado: (2025)
Convolutional Autoencoders for Data Compression and Anomaly Detection in Small Satellite Technologies
por: Jayeprokash, Dishanand, et al.
Publicado: (2025)
por: Jayeprokash, Dishanand, et al.
Publicado: (2025)
AstroReview: An LLM-driven Multi-Agent Framework for Telescope Proposal Peer Review and Refinement
por: Wang, Yutong, et al.
Publicado: (2025)
por: Wang, Yutong, et al.
Publicado: (2025)
Anomaly detection in radio galaxy data with trainable COSFIRE filters
por: Ndung'u, Steven, et al.
Publicado: (2025)
por: Ndung'u, Steven, et al.
Publicado: (2025)
AI Agents for Ground-Based Gamma Astronomy
por: Kostunin, D., et al.
Publicado: (2025)
por: Kostunin, D., et al.
Publicado: (2025)
AstroM$^3$: A self-supervised multimodal model for astronomy
por: Rizhko, Mariia, et al.
Publicado: (2024)
por: Rizhko, Mariia, et al.
Publicado: (2024)
Plausible but Wrong: A case study on Agentic Failures in Astrophysical Workflows
por: Rawat, Shivam, et al.
Publicado: (2026)
por: Rawat, Shivam, et al.
Publicado: (2026)
AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification
por: Chen, Claire, et al.
Publicado: (2026)
por: Chen, Claire, et al.
Publicado: (2026)
SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries
por: Anwar, Omar, et al.
Publicado: (2026)
por: Anwar, Omar, et al.
Publicado: (2026)
Ejemplares similares
-
A Generative Model for Disentangling Galaxy Photometric Parameters
por: Leung, Keen, et al.
Publicado: (2025) -
Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models
por: Li, Yun Qi, et al.
Publicado: (2024) -
Mapping Galaxy Images Across Ultraviolet, Visible and Infrared Bands Using Generative Deep Learning
por: Zaazou, Youssef, et al.
Publicado: (2025) -
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model
por: Fu, Mingxiang, et al.
Publicado: (2024) -
Intrinsic Dimension Estimation for Radio Galaxy Zoo using Diffusion Models
por: Roset, Joan Font-Quer, et al.
Publicado: (2025)