과제정보
본 연구는 2023학년도 상명대학교 교내연구비를 지원받아 수행하였음 (2023-A000-0318). 실험 데이터는 Kodak, Crytek, UNC GAMMA Lab, Spiral Graphics, Ignacio Castano가 공개한 이미지 및 장면을 포함함.
참고문헌
- J. Papadopoulos. (2023) New Cyberpunk 2077 HD texture packs improve the textures of NPCs faces, hair & beards. [Online]. Available: https://www.dsogaming.com/mods/new-cyberpunk-2077-hd-texture-packs-improve-the-textures-of-npcs-faces-hair-beards/
- GPUnity. (2023) Arkham city redux. [Online]. Available: https://www.nexusmods.com/batmanarkhamcity/mods/407/
- L. Williams, "Pyramidal parametrics," in Proceedings of the 10th annual conference on Computer graphics and interactive techniques (SIGGRAPH), 1983, pp. 1-11.
- S. Takemura, "Optimize deep super-resolution and denoising for compressed textures," in ACM SIGGRAPH Asia 2018 Posters, 2018.
- J.-H. Nah and H. Kim, "TexSR: Image super-resolution for high-quality texture mapping," in ACM SIGGRAPH Asia 2022 Posters, 2022.
- K. Zhang, J. Liang, L. V. Gool, and R. Timofte, "Designing a practical degradation model for deep blind image super-resolution," in Proceedings of the International Conference on Computer Vision (ICCV), 2021, pp. 4791-4800.
- X. Wang, L. Xie, C. Dong, and Y. Shan, "Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data," in 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, pp. 1905-1914.
- J. Liang, J. Cao, G. Sun, K. Zhang, L. Van Gool, and R. Timofte, "SwinIR: Image restoration using swin transformer," in 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, pp. 1833-1844.
- P. Andersson, J. Nilsson, T. Akenine-Moller, M. Oskarsson, K. Astrom, and M. D. Fairchild, "FLIP: A difference evaluator for alternating images," Proceedings of the ACM on Computer Graphics and Interactive Techniques (HPG), vol. 3, no. 2, pp. 1-23, 2020.
- NVIDIA Developer. (2023) Deep learning super sampling (DLSS). [Online]. Available: https://www.nvidia.com/en-us/geforce/technologies/dlss/
- C. Dong, C. C. Loy, K. He, and X. Tang, "Image super-resolution using deep convolutional networks," In Proceedings of European Conference on Computer Vision (ECCV) 2014, pp. 184-199, 2014.
- C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi, "Photo-realistic single image super-resolution using a generative adversarial network," in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp. 105-114.
- X. Wang, K. Yu, S. Wu, J. Gu, Y. Liu, C. Dong, Y. Qiao, and C. C. Loy, "ESRGAN: Enhanced super-resolution generative adversarial networks," in Computer Vision - ECCV 2018 Workshops, 2019, pp. 63-79.
- X. Ji, Y. Cao, Y. Tai, C. Wang, J. Li, and F. Huang, "Realworld super-resolution via kernel estimation and noise injection," in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, pp. 1914-1923.
- A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin, "Attention is all you need," 2017.
- Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo, "Swin transformer: Hierarchical vision transformer using shifted windows," in 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 9992-10 002.
- J.-H. Nah, "ASTC block-size determination method based on PSNR values," Journal of the Korea Computer Graphics Society, vol. 28, no. 2, pp. 21-28, 2022. https://doi.org/10.15701/kcgs.2022.28.2.21
- W. Cho, J. Kwon, S. Kwon, and J. Yoo, "A comparative study on OCR using super-resolution for small fonts," The International Journal of Advanced Smart Convergence, vol. 8, no. 3, pp. 95-101, 2019. https://doi.org/10.7236/IJASC.2019.8.3.95
- S.-H. Sung, K.-B. Lee, and S.-H. Park, "Research on Korea text recognition in images using deep learning," Journal of the Korea Convergence Society, vol. 11, no. 6, pp. 1-6, 2020. https://doi.org/10.15207/JKCS.2020.11.6.001
- Y. Li, B. Sixou, and F. Peyrin, "A review of the deep learning methods for medical images super resolution problems," IRBM, vol. 42, no. 2, pp. 120-133, 2021. https://doi.org/10.1016/j.irbm.2020.08.004
- S. Jia, Z. Wang, Q. Li, X. Jia, and M. Xu, "Multiattention generative adversarial network for remote sensing image super-resolution," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022. https://doi.org/10.1109/TGRS.2022.3180068
- Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, 2004. https://doi.org/10.1109/TIP.2003.819861
- J.-H. Nah, "QuickETC2: How to finish ETC2 compression within 1 ms," in ACM SIGGRAPH 2020 Talks, 2020.
- J.-H. Nah, "QuickETC2: Fast ETC2 texture compression using luma differences," ACM Transactions on Graphics (SIGGRAPH Asia 2020), vol. 39, no. 6, p. 10, nov 2020.
- J. M. P. van Waveren and I. Castano, "Real-time normal map DXT compression," Technical Report, Id Software, 2008. [Online]. Available: https://developer.download.nvidia.com/whitepapers/2008/realtime-normal-map-dxt-compression.pdf
- I. Castano. (2021) Image datasets - a repository of public image data sets. [Online]. Available: https://github.com/castano/image-datasets
- E. Agustsson and R. Timofte, "NTIRE 2017 challenge on single image super-resolution: Dataset and study," in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, pp. 1122-1131.
- A. Gianluca. (2023) QualityScaler - image/video AI upscaler app (BSRGAN). [Online]. Available: https://github.com/Djdefrag/QualityScaler/
- S. Yuk and Y. Cho, "A study on novel steganography communication technique based on thumbnail images in sns messenger environment," Journal of Internet Computing and Services, vol. 22, no. 6, pp. 151-162, 2021. https://doi.org/10.7472/JKSII.2021.22.6.151
- J. Nilsson and T. Akenine-Moller, "Understanding SSIM," ArXiv e-prints, 2020, arXiv:2006.13846.
- NVIDIA Developer. (2023) DLSS - download and get started. [Online]. Available: https://developer.nvidia.com/rtx/dlss/get-started
- J.-H. Nah, B. Choi, and Y. Lim, "Classified texture resizing for mobile devices," in ACM SIGGRAPH 2018 Talks, New York, NY, USA, 2018. [Online]. Available: https://doi.org/10.1145/3214745.3214763
- LG Electronics. (2022) α9 Gen5 AI Processor. [Online]. Available: https://www.lg.com/levanten/tvs/2022/alpha9
- K. Vaidyanathan, M. Salvi, B. Wronski, T. Akenine-Moller, P. Ebelin, and A. Lefohn, "Random-access neural compression of material textures," ACM Transaction on Graphics, vol. 42, no. 4, jul 2023. [Online]. Available: https://doi.org/10.1145/3592407
- J.-H. Nah, "Addition of an adaptive block-size determination feature to astcenc, the reference ASTC encoder," Software Impacts, vol. 17, 2023.