Hugging Face Trending Papers July 13, 2026

Reference-Based Face Super-Resolution Using the Spatial Transformer

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Face super-resolution is the task of increasing the resolution of an image containing a face thereby adding finer detail. It is a ubiquitous task in many computer vision applications and quite often the user isn't even aware that it is being performed.

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arXiv Machine Learning

Jul 14

Reference-Based Face Super-Resolution Using the Spatial Transformer

arXiv:2607. 11025v1 Announce Type: cross Abstract: Face super-resolution is the task of increasing the resolution of an image containing a face thereby adding finer detail.

By Varun Ramesh Jois, Antonella DiLillo, James Storer

llms computer-vision safety

arXiv AI

Jul 10

SwinIFS: Landmark Guided Swin Transformer For Identity Preserving Face Super Resolution

arXiv:2601. 01406v2 Announce Type: replace-cross Abstract: Face super-resolution aims to recover high-quality facial images from severely degraded low-resolution inputs, but remains challenging due to the loss of fine structural details and identity-specific features.

By Habiba Kausar, Saeed Anwar, Omar Jamal Hammad, Abdul Bais

llms benchmarks

arXiv Computer Vision

Sep 1

PixelIR: Fidelity-Perception Decoupling via Pixel-Space Image-Residual Flow Matching for Efficient One-Step Real-World Super-Resolution

arXiv:2608.30782v1 Announce Type: new Abstract: Real-world image super-resolution (Real-ISR) aims to preserve structures supported by the degraded observation while reconstructing perceptually realis...

By Bingtian Qiao, Yue Shi, Yong Guo, Wenjun Zhang, Jiezhang Cao

diffusion

arXiv Machine Learning

Jul 7

On Preserving Geometrical Invariance for Superpixel Image Classification using Graph Transformer

arXiv:2607. 04262v1 Announce Type: new Abstract: Convolutional Neural Network (CNN) and Vision Transformer (ViT) for image classification exploit a dense grid of pixels containing redundant information.

By Sarabeshwar Balaji, Shubham Mohanty, Akash Anil

llms computer-vision benchmarks

arXiv Computer Vision

Sep 1

Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attention

arXiv:2505.16157v3 Announce Type: replace Abstract: Transformer-based models have made remarkable progress in image restoration (IR) tasks. However, the quadratic complexity of self-attention in Tran...

By Yuang Ai

llms diffusion computer-vision benchmarks

arXiv Computer Vision

Sep 22

Efficient Concertormer for Image Deblurring and Beyond

arXiv:2404.06135v4 Announce Type: replace Abstract: The Transformer architecture has achieved remarkable success in natural language processing and high-level vision tasks over the past few years. Ho...

By Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang

llms nlp benchmarks

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Reference-Based Face Super-Resolution Using the Spatial Transformer

SwinIFS: Landmark Guided Swin Transformer For Identity Preserving Face Super Resolution

PixelIR: Fidelity-Perception Decoupling via Pixel-Space Image-Residual Flow Matching for Efficient One-Step Real-World Super-Resolution

On Preserving Geometrical Invariance for Superpixel Image Classification using Graph Transformer

Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attention

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