2 citations · 3 across the 3 of their papers we have counts for
3 papers
F2IDiff: Real-world Image Super-resolution using Feature to Image Diffusion Foundation Model
Devendra K. Jangid, Ripon K. Saha, Dilshan Godaliyadda +3
With the advent of Generative AI, Single Image Super-Resolution (SISR) quality has seen substantial improvement, as the strong priors learned by Text-2-Image Diffusion (T2IDiff) Fo…
Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network
Devendra K. Jangid, Neal R. Brodnik, McLean P. Echlin +3
Gathering 3D material microstructural information is time-consuming, expensive, and energy-intensive. Acquisition of 3D data has been accelerated by developments in serial sectioni…
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
Devendra K. Jangid, Neal R. Brodnik, Amil Khan +4
In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years. However, 3D object generation has not garnered the same…