4 papers
Local-Global Context-Aware and Structure-Preserving Image Super-Resolution
Sanchar Palit, Subhasis Chaudhuri, Biplab Banerjee
Diffusion models have recently achieved significant success in various image manipulation tasks, including image super-resolution and perceptual quality enhancement. Pretrained tex…
Hardware-Friendly Diffusion Models with Fixed-Size Reusable Structures for On-Device Image Generation
Sanchar Palit, Sathya Veera Reddy Dendi, Mallikarjuna Talluri +1
Vision Transformers and U-Net architectures have been widely adopted in the implementation of Diffusion Models. However, each architecture presents specific challenges while realiz…
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri
We propose a Bayesian neural network-based continual learning algorithm using Variational Inference, aiming to overcome several drawbacks of existing methods. Specifically, in cont…
A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
Sanchar Palit, Sandika Biswas
Single-image 3D reconstruction is a research challenge focused on predicting 3D object shapes from single-view images. This task requires significant data acquisition to predict bo…