EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Product Information
Key Features of EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
EvTexture leverages high-frequency details of events to better recover texture regions in VSR, using a bidirectional recurrent network and an iterative texture enhancement module.
Event-driven Texture Enhancement
EvTexture utilizes event signals to enhance the texture restoration in VSR, achieving state-of-the-art performance on four datasets.
Bidirectional Recurrent Network
EvTexture adopts a bidirectional recurrent network, where features are propagated forward and backward to enhance the restoration of texture regions.
Iterative Texture Enhancement Module
EvTexture uses an iterative texture enhancement module to progressively refine the feature across multiple iterations, leveraging high-frequency textural information from events along with context information from the current frame.
High-Temporal-Resolution Event Information
EvTexture leverages high-temporal-resolution event information to better recover texture regions in VSR.
Gradual Refinement of Texture Regions
EvTexture gradually refines the texture regions across multiple iterations, leading to more accurate and rich high-resolution details.
Use Cases of EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Video super-resolution
Video denoising
Video deblurring
Image and video processing
Pros and Cons of EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Pros
- State-of-the-art performance on four datasets
- Up to 4.67dB gain compared to recent event-based methods
- Effective utilization of event signals for texture enhancement
Cons
- Limited to event-based data
- Requires high-performance computing resources
How to Use EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
- 1
Input event-based data
- 2
Preprocess data using a bidirectional recurrent network
- 3
Apply iterative texture enhancement module
- 4
Refine texture regions across multiple iterations






