Transformer-Based Restoration: Quantitative Gains and Boundaries in Space Data
7 May 2025
Transformer-based AI boosts HST images to JWST quality, enhancing detail and accuracy for astronomy-despite challenges with noise and point sources.
Even AI Needs Glasses: When Space Images Get Too Fuzzy to Fix
7 May 2025
Restoration falters at high noise, on stellar point sources, and with correlated artifacts-highlighting key limits of current deep learning for astronomy images
AI Brings HST Images Closer to JWST Quality with Restormer
7 May 2025
Applying Restormer to real HST images yields clearer, deeper, less noisy galaxies, with measurable gains despite GT data’s absence for direct comparison.
Quantifying Restoration: PSNR, SSIM, and Morphology in Deep-Learned Galaxies
7 May 2025
Restormer restores galaxy images with sharper detail, improved morphology, and superior photometry, outperforming degraded inputs by wide margins.
Bridging Simulations and Observations: GalSim & JWST Data Drive Deep Learning
6 May 2025
GalSim generates realistic pre-training data; JWST galaxies provide high-fidelity fine-tuning, enabling robust transformer-based enhancement of space images.
Space Selfies Level Up-AI Learns from the Best in the Universe
6 May 2025
Creates paired HST-JWST galaxy images for training, using synthetic and real data to teach Transformers superior astronomical image restoration.
Efficient Transformers for Astronomical Images: Deconvolution and Denoising Unleashed
6 May 2025
Restormer’s transformer architecture powerfully restores HST images, combining deconvolution and denoising for JWST-level clarity using transfer learning.
AI Breakthrough Sharpens Telescope Images-Astronomy’s Next Big Leap
6 May 2025
Applies efficient Transformers to restore and enhance astronomical images, matching JWST quality and outperforming traditional methods in precision.
New Open-Source Platform Is Letting AI Researchers Crack Tough Languages
30 Dec 2024
Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.