Compressed Video Super-Resolution based on Hierarchical Encoding

• URL: http://arxiv.org/abs/2506.14381v1
• Date: Tue, 17 Jun 2025 10:26:07 GMT
• Title: Compressed Video Super-Resolution based on Hierarchical Encoding
• Authors: Yuxuan Jiang, Siyue Teng, Qiang Zhu, Chen Feng, Chengxi Zeng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull,
• Abstract summary: VSR-HE upscales low-resolution videos by a ratio of four, from 180p to 720p or from 270p to 1080p.<n>The proposed VSR-HE has been officially submitted to the ICME 2025 Grand Challenge on VSR for Video Conferencing.
• Score: 24.869991871048764
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This paper presents a general-purpose video super-resolution (VSR) method, dubbed VSR-HE, specifically designed to enhance the perceptual quality of compressed content. Targeting scenarios characterized by heavy compression, the method upscales low-resolution videos by a ratio of four, from 180p to 720p or from 270p to 1080p. VSR-HE adopts hierarchical encoding transformer blocks and has been sophisticatedly optimized to eliminate a wide range of compression artifacts commonly introduced by H.265/HEVC encoding across various quantization parameter (QP) levels. To ensure robustness and generalization, the model is trained and evaluated under diverse compression settings, allowing it to effectively restore fine-grained details and preserve visual fidelity. The proposed VSR-HE has been officially submitted to the ICME 2025 Grand Challenge on VSR for Video Conferencing (Team BVI-VSR), under both the Track 1 (General-Purpose Real-World Video Content) and Track 2 (Talking Head Videos).

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