5 papers · 1 filter
Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models
Srinivas Soumitri Miriyala, Sowmya Vajrala, Sravanth Kodavanti +2
We propose a modular framework for hybrid image restoration that integrates transformer and state-space model (SSM) blocks with a focus on improving runtime efficiency on edge hard…
TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution
Sowmya Vajrala, Akshay Bankar, Manjunath Arveti +5
Diffusion models have recently demonstrated strong performance for image restoration tasks, including super-resolution. However, their large model size and iterative sampling proce…
Quantization with Unified Adaptive Distillation to enable multi-LoRA based one-for-all Generative Vision Models on edge
Sowmya Vajrala, Aakash Parmar, Prasanna R +4
Generative Artificial Intelligence (GenAI) features such as image editing, object removal, and prompt-guided image transformation are increasingly integrated into mobile applicatio…
EdgeDiT: Hardware-Aware Diffusion Transformers for Efficient On-Device Image Generation
Sravanth Kodavanti, Manjunath Arveti, Sowmya Vajrala +2
Diffusion Transformers (DiT) have established a new state-of-the-art in high-fidelity image synthesis; however, their massive computational complexity and memory requirements hinde…
NanoSD: Edge Efficient Foundation Model for Real Time Image Restoration
Subhajit Sanyal, Srinivas Soumitri Miriyala, Akshay Janardan Bankar +7
Latent diffusion models such as Stable Diffusion 1.5 offer strong generative priors that are highly valuable for image restoration, yet their full pipelines remain too computationa…