mlsanityData to 7 Oct 2026

EvTexture: Event-driven Texture Enhancement for Video Super-Resolution

arXiv 2406.13457 ↗First posted 19 Jun 2024cs.CV cs.AIcited by 8

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Abstract (arXiv)

Event-based vision has drawn increasing attention due to its unique characteristics, such as high temporal resolution and high dynamic range. It has been used in video super-resolution (VSR) recently to enhance the flow estimation and temporal alignment. Rather than for motion learning, we propose in this paper the first VSR method that utilizes event signals for texture enhancement. Our method, called EvTexture, leverages high-frequency details of events to better recover texture regions in VSR. In our EvTexture, a new texture enhancement branch is presented. We further introduce an iterative texture enhancement module to progressively explore the high-temporal-resolution event information for texture restoration. This allows for gradual refinement of texture regions across multiple iterations, leading to more accurate and rich high-resolution details. Experimental results show that our EvTexture achieves state-of-the-art performance on four datasets. For the Vid4 dataset with rich textures, our method can get up to 4.67dB gain compared with recent event-based methods. Code: https://github.com/DachunKai/EvTexture.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 37 of its 57 references that are in the map. First posted on arXiv 19 Jun 2024.

Builds on

37 of 57 references.

References · 37

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25 more
  1. 2017Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolationcited by 321
  2. 2018Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotioncited by 304
  3. 2020BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyondcited by 303
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 5; 2026: 2.

8 papers.

  1. 2025Low-Resource Video Super-Resolution using Memory, Wavelets, and Deformable Convolutionscited by 3
  2. 2025Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Surveycited by 3
  3. 2024AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Resultscited by 1
  4. 2025Towards Robust and Generalizable Continuous Space-Time Video Super-Resolution with Eventscited by 1
  5. 2025DESSERT: Diffusion-based Event-driven Single-frame Synthesis via Residual Trainingcited by 1
  6. 2026EvReflection: Event-Driven Micro-Dynamics for Reflection Removalcited by 1
  7. 2025From Events to Enhancement: A Survey on Event-Based Imaging Technologiescited by 0
  8. 2026EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolutioncited by 0