SuperGen: An Efficient Ultra-high-resolution Video Generation System with Sketching and Tiling

• URL: http://arxiv.org/abs/2508.17756v1
• Date: Mon, 25 Aug 2025 07:49:17 GMT
• Title: SuperGen: An Efficient Ultra-high-resolution Video Generation System with Sketching and Tiling
• Authors: Fanjiang Ye, Zepeng Zhao, Yi Mu, Jucheng Shen, Renjie Li, Kaijian Wang, Desen Sun, Saurabh Agarwal, Myungjin Lee, Triston Cao, Aditya Akella, Arvind Krishnamurthy, T. S. Eugene Ng, Zhengzhong Tu, Yuke Wang,
• Abstract summary: SuperGen is an efficient tile-based framework for ultra-high-resolution video generation.<n>It supports a wide range of resolutions without additional training efforts.<n>SuperGen incorporates a tile-tailored, adaptive, region-aware caching strategy.
• Score: 27.96742776792205
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Diffusion models have recently achieved remarkable success in generative tasks (e.g., image and video generation), and the demand for high-quality content (e.g., 2K/4K videos) is rapidly increasing across various domains. However, generating ultra-high-resolution videos on existing standard-resolution (e.g., 720p) platforms remains challenging due to the excessive re-training requirements and prohibitively high computational and memory costs. To this end, we introduce SuperGen, an efficient tile-based framework for ultra-high-resolution video generation. SuperGen features a novel training-free algorithmic innovation with tiling to successfully support a wide range of resolutions without additional training efforts while significantly reducing both memory footprint and computational complexity. Moreover, SuperGen incorporates a tile-tailored, adaptive, region-aware caching strategy that accelerates video generation by exploiting redundancy across denoising steps and spatial regions. SuperGen also integrates cache-guided, communication-minimized tile parallelism for enhanced throughput and minimized latency. Evaluations demonstrate that SuperGen harvests the maximum performance gains while achieving high output quality across various benchmarks.

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