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Found 7 papers, 2 papers with code
Reference-Based 3D-Aware Image Editing with Triplane
Generative Adversarial Networks (GANs) have emerged as powerful tools not only for high-quality image generation but also for real image editing through manipulation of their interpretable latent spaces.
Towards Clip-Free Quantized Super-Resolution Networks: How to Tame Representative Images
Super-resolution (SR) networks have been investigated for a while, with their mobile and lightweight versions gaining noticeable popularity recently.
Diverse Inpainting and Editing with GAN Inversion
Specifically, we propose to learn an encoder and mixing network to combine encoded features from erased images with StyleGAN's mapped features from random samples.
Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution Network
We propose a real-time and lightweight single-image super-resolution (SR) network named Bicubic++.
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
While numerous solutions have been proposed for this problem in the past, they are usually not compatible with low-power mobile NPUs having many computational and memory constraints.
XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation
XCAT introduces Heterogeneous Group Convolution Blocks with Cross Concatenations (HXBlock).
Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices
Used as a sub-block in a larger network, XABA also improves multi-image super-resolution network performance in comparison to other alignment methods.
