Github项目推荐 | Awesome-Image-Inpainting 图像补全相关资源大列表

Github项目链接：

https://github.com/1900zyh/Awesome-Image-Inpainting

早期方法（非基于学习）

[1] Bertalmio, M., Sapiro, G., Caselles, V., & Ballester, C. (2000, July). Image inpainting. In SIGGRAPH (pp. 417-424). [paper]

[2] Bertalmio, M., Vese, L., Sapiro, G., & Osher, S. (2003). Simultaneous structure and texture image inpainting. TIP, 12(8), 882-889. [paper]

[3] Criminisi, A., Pérez, P., & Toyama, K. (2004). Region filling and object removal by exemplar-based image inpainting. TIP 13(9), 1200-1212. [paper]

[4] Sun, J., Yuan, L., Jia, J., & Shum, H. Y. (2005, July). Image completion with structure propagation. ToG (Vol. 24, No. 3, pp. 861-868). [paper]

[5] Huang, J. B., Kang, S. B., Ahuja, N., & Kopf, J. (2014). Image completion using planar structure guidance. TOG, 33(4), 129. [paper] [code] [project]

深层架构（基于学习）

• NeurIPS 2015

[1] Ren, J. S., Xu, L., Yan, Q., & Sun, W. (2015). Shepard convolutional neural networks. NeurIPS pp. 901-909). [paper] [code]

• CVPR 2016

[1] Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. (2016). Context encoders: Feature learning by inpainting. CVPR (pp. 2536-2544). [paper] [code]

• Siggraph 2017

[1] Iizuka, S., Simo-Serra, E., & Ishikawa, H. (2017). Globally and locally consistent image completion. ToG, 36(4), 107. [paper][code] [project]

• CVPR 2017

[1] Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O., & Li, H. (2017). High-resolution image inpainting using multi-scale neural patch synthesis. CVPR (pp. 6721-6729). [paper] [code]

[2]Li, Y., Liu, S., Yang, J., & Yang, M. H. (2017). Generative face completion. CVPR (pp. 3911-3919). [paper][code]

[3] Yeh, R. A., Chen, C., Yian Lim, T., Schwing, A. G., Hasegawa-Johnson, M., & Do, M. N. (2017). Semantic image inpainting with deep generative models. CVPR (pp. 5485-5493). [paper] [code] [project]

• CVPR 2018

[1] Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang, Generative Image Inpainting with Contextual Attention, CVPR, 2018. [paper] [code] [project]

[2] Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., & Huang, T. S. (2018). Generative image inpainting with contextual attention. CVPR (pp. 5505-5514). [paper]

[3] Dolhansky, B., & Canton Ferrer, C. (2018). Eye in-painting with exemplar generative adversarial networks. CVPR (pp. 7902-7911). [paper] [project] [code]

[4] Deng, J., Cheng, S., Xue, N., Zhou, Y., & Zafeiriou, S. (2018). Uv-gan: Adversarial facial uv map completion for pose-invariant face recognition. CVPR (pp. 7093-7102). [paper]

[5] Gilbert, A., Collomosse, J., Jin, H., & Price, B. (2018). Disentangling Structure and Aesthetics for Style-aware Image Completion. CVPR (pp. 1848-1856). [paper]

• ECCV 2018

[1] Liu, G., Reda, F. A., Shih, K. J., Wang, T. C., Tao, A., & Catanzaro, B. (2018). Image inpainting for irregular holes using partial convolutions. ECCV (pp. 85-100). [paper] [project]

[2] Song, Y., Yang, C., Lin, Z., Liu, X., Huang, Q., Li, H., & Jay Kuo, C. C. (2018). Contextual-based image inpainting: Infer, match, and translate. ECCV (pp. 3-19). [paper]

[3] Yan, Z., Li, X., Li, M., Zuo, W., & Shan, S. (2018). Shift-net: Image inpainting via deep feature rearrangement. ECCV (pp. 1-17). [paper] [code]

• NeurIPS 2018

[1] Wang, Y., Tao, X., Qi, X., Shen, X., & Jia, J. (2018). Image Inpainting via Generative Multi-column Convolutional Neural Networks. NeurIPS (pp. 331-340). [paper] [code]

• BMVC 2018

[1] Song, Y., Yang, C., Shen, Y., Wang, P., Huang, Q., & Kuo, C. C. J. (2018). SPG-Net: Segmentation prediction and guidance network for image inpainting. BMVC. [paper]

• MM 2018

[1] Vo, H. V., Duong, N. Q., & Pérez, P. (2018, October). Structural inpainting. MM (pp. 1948-1956). [paper]

[2] Zhang, H., Hu, Z., Luo, C., Zuo, W., & Wang, M. (2018, October). Semantic Image Inpainting with Progressive Generative Networks. MM (pp. 1939-1947). [paper] [code]

• ACCV 2018

[1] Liao, H., Funka-Lea, G., Zheng, Y., Luo, J., & Zhou, S. K. (2018). Face Completion with Semantic Knowledge and Collaborative Adversarial Learning. ACCV. [paper]

• ICASSP 2018

[1] Liao, L., Hu, R., Xiao, J., & Wang, Z. (2018, April). Edge-Aware Context Encoder for Image Inpainting. ICASSP (pp. 3156-3160). [paper]

• ACM Transactions on Graphics (TOG) 2018

[1] Portenier, T., Hu, Q., Szabó, A., Bigdeli, S. A., Favaro, P., & Zwicker, M. (2018). Faceshop: Deep sketch-based face image editing. TOG, 37(4), 99. [paper]

• Arxiv 2018

[1] Chen, Z., Nie, S., Wu, T., & Healey, C. G. (2018). High resolution face completion with multiple controllable attributes via fully end-to-end progressive generative adversarial networks. arXiv preprint arXiv:1801.07632. [paper]

[2] Banerjee, S., Scheirer, W. J., Bowyer, K. W., & Flynn, P. J. (2018). On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs. arXiv preprint arXiv:1811.07104. [paper]

[3] Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., & Huang, T. S. (2018). Free-form image inpainting with gated convolution. arXiv preprint arXiv:1806.03589. [paper] [project]

• CVPR 2019

[1] Zheng, C., Cham, T. J., & Cai, J. (2019). Pluralistic Image Completion. CVPR. [paper] [code] [project]

[2] Zeng, Y., Fu, J., Chao, H., & Guo, B. (2019). Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting. CVPR. [paper] [code]

[3] Xiong, W., Lin, Z., Yang, J., Lu, X., Barnes, C., & Luo, J. (2019). Foreground-aware Image Inpainting. CVPR. [paper]

[4] Han, X., Zhang, Z., Du, D., Yang, M., Yu, J., Pan, P., ... & Cui, S. (2019). Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image. CVPR. [paper]

[5] Sagong, M. C., Shin, Y. G., Kim, S. W., Park, S., & Ko, S. J. (2019). PEPSI: Fast Image Inpainting With Parallel Decoding Network. CVPR (pp. 11360-11368).

[6] Grigorev, A., Sevastopolsky, A., Vakhitov, A., & Lempitsky, V. (2019). Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation. CVPR (pp. 12135-12144). [paper]

[7] Xu, R., Li, X., Zhou, B., & Loy, C. C. (2019). Deep Flow-Guided Video Inpainting. CVPR. [paper][code]

[8] Kim, D., Woo, S., Lee, J. Y., & Kweon, I. S. (2019). Deep Video Inpainting. CVPR. [paper][code]

• Arxiv 2019

[1] Nazeri, K., Ng, E., Joseph, T., Qureshi, F., & Ebrahimi, M. (2019). EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. arXiv preprint arXiv:1901.00212. [paper] [code]

[2] Xiao, Q., Li, G., & Chen, Q. (2018). Deep Inception Generative Network for Cognitive Image Inpainting. arXiv preprint arXiv:1812.01458. [paper]

[3] Webster, R., Rabin, J., Simon, L., & Jurie, F. (2019). Detecting Overfitting of Deep Generative Networks via Latent Recovery. arXiv preprint arXiv:1901.03396. [paper]

[4] Jo, Y., & Park, J. (2019). SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color. arXiv preprint arXiv:1902.06838. [paper] [code]

[5] Hong, X., Xiong, P., Ji, R., & Fan, H. (2019). Deep Fusion Network for Image Completion. arXiv preprint arXiv:1904.08060. [paper] [code]

[6] Shin, Y. G., Sagong, M. C., Yeo, Y. J., Kim, S. W., & Ko, S. J. (2019). PEPSI++: Fast and Lightweight Network for Image Inpainting. arXiv preprint arXiv:1905.09010. [paper]