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Nah J(2024)QuickETC2-HQComputers and Graphics10.1016/j.cag.2023.08.032116:C(308-316)Online publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1016/j.cag.2023.08.032
Kim HNah J(2023)Comparative analysis of the deep-learning-based super-resolution methods for generating high-resolution texture mapsJournal of the Korea Computer Graphics Society10.15701/kcgs.2023.29.5.3129:5(31-40)Online publication date: 1-Dec-2023
https://doi.org/10.15701/kcgs.2023.29.5.31
Lee HNah J(2023)H‐ETC2: Design of a CPU‐GPU Hybrid ETC2 EncoderComputer Graphics Forum10.1111/cgf.1496942:7Online publication date: 30-Oct-2023
https://doi.org/10.1111/cgf.14969
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QuickETC2-HQ: Improved ETC2 encoding techniques for real-time, high-quality texture compression
Abstract
ETC2 is a widely-used texture compression format in Android devices and applications, so efficient ETC2 encoding can reduce application development time. We present QuickETC2-HQ, a set of improved ETC2 encoding techniques for real-time, high-...
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Highlights
- A set of improved ETC2 encoding techniques for real-time, high-quality texture compression.
- Solving several quality issues appeared in real-time ETC2 encoding (e.g., block artifacts, blurring, posterization, etc.).
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Lossless compression of already compressed textures
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SIGGRAPH '20: ACM SIGGRAPH 2020 Talks

August 2020

152 pages

ISBN:9781450379717

DOI:10.1145/3388767

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Nah J(2024)QuickETC2-HQComputers and Graphics10.1016/j.cag.2023.08.032116:C(308-316)Online publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1016/j.cag.2023.08.032
Kim HNah J(2023)Comparative analysis of the deep-learning-based super-resolution methods for generating high-resolution texture mapsJournal of the Korea Computer Graphics Society10.15701/kcgs.2023.29.5.3129:5(31-40)Online publication date: 1-Dec-2023
https://doi.org/10.15701/kcgs.2023.29.5.31
Lee HNah J(2023)H‐ETC2: Design of a CPU‐GPU Hybrid ETC2 EncoderComputer Graphics Forum10.1111/cgf.1496942:7Online publication date: 30-Oct-2023
https://doi.org/10.1111/cgf.14969
Nah J(2022)ASTC Block-Size Determination Method based on PSNR ValuesJournal of the Korea Computer Graphics Society10.15701/kcgs.2022.28.2.2128:2(21-28)Online publication date: 1-Jun-2022
https://doi.org/10.15701/kcgs.2022.28.2.21
Nah J(2020)QuickETC2ACM Transactions on Graphics10.1145/3414685.341778739:6(1-10)Online publication date: 27-Nov-2020
https://dl.acm.org/doi/10.1145/3414685.3417787

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QuickETC2: Fast ETC2 texture compression using Luma differences

QuickETC2-HQ: Improved ETC2 encoding techniques for real-time, high-quality texture compression

Lossless compression of already compressed textures

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