Enriched Cnn-Transformer Feature Aggregation Networks For Super-Resolution

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution

ComputerVisionFoundation Videos

Residual Feature Aggregation Network for Image Super-Resolution

ComputerVisionFoundation Videos

Learning Texture Transformer Network for Image Super Resolution

Microsoft Research

Dual Aggregation Transformer for Image Super-Resolution

ComputerVisionFoundation Videos

MNSRNet: Multimodal Transformer Network for 3D Surface Super Resolution | CVPR'22

Artificial Intelligence

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer by L. Drees

ID 43: An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mech..

Machine Learning for Healthcare

High-Res Image Synthesis - Merging Transformer Power with CNN Efficiency

What's AI by Louis-François Bouchard

Learning Texture Transformer Network for Image Super-Resolution

ComputerVisionFoundation Videos

Scopeformer: n-CNN-ViT hybrid model

Yassine Barhoumi

CoolGAN: GANs with Transformers Super-Resolving Images

AI for Creative Video Editing and Understanding

Restormer: Efficient Transformer for High Resolution Image Restoration | CVPR 2022

Artificial Intelligence

EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications

N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR23)

Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations

ComputerVisionFoundation Videos

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer

Multi-view Appearance Super-resolution with CNNs | JRC Workshop 2021

Microsoft Research

Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation

ComputerVisionFoundation Videos

Multi-Scale Boosted Dehazing Network With Dense Feature Fusion

ComputerVisionFoundation Videos