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Recent advances in OpenAI's GPT-series multimodal generation models have shown remarkable capabilities in producing visually compelling images.
A non-local algorithm for image denoising
A. Buades, B. Coll, and J.-M. Morel · 2005
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Single image haze removal using dark channel prior
K. He, J. Sun, and X. Tang · 2010
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Fast bilateral filtering for denoising large 3d images
G. Papari, N. Idowu, and T. Varslot · 2016
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Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising
K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang · 2017
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A high-quality denoising dataset for smartphone cameras
A. Abdelhamed, S. Lin, and M. S. Brown · 2018
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O-haze: a dehazing benchmark with real hazy and haze-free outdoor images
C. O. Ancuti, C. Ancuti, R. Timofte, and C. De Vleeschouwer · 2018
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Desnownet: Context-aware deep network for snow removal
Y.-F. Liu, D.-W. Jaw, S.-C. Huang, and J.-N. Hwang · 2018
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Attentive generative adversarial network for raindrop removal from a single image
R. Qian, R. T. Tan, W. Yang, J. Su, and J. Liu · 2018
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Deep retinex decomposition for low-light enhancement
C. Wei, W. Wang, W. Yang, and J. Liu · 2018
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An underwater image enhancement benchmark dataset and beyond
C. Li, C. Guo, W. Ren, R. Cong, J. Hou, S. Kwong, and D. Tao · 2019
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Image de-raining using a conditional generative adversarial network
H. Zhang, V. Sindagi, and V. M. Patel · 2019
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Deformable convnets v2: More deformable, better results
X. Zhu, H. Hu, S. Lin, and J. Dai · 2019
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Defocus deblurring using dual-pixel data
A. Abuolaim and M. S. Brown · 2020
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Multi-scale progressive fusion network for single image deraining
K. Jiang, Z. Wang, P. Yi, C. Chen, B. Huang, Y. Luo, J. Ma, and J. Jiang · 2020
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Single image reflection removal through cascaded refinement
C. Li, Y. Yang, K. He, S. Lin, and J. E. Hopcroft · 2020
Cited alongside, same era.
Real-world blur dataset for learning and benchmarking deblurring algorithms
J. Rim, H. Lee, J. Won, and S. Cho · 2020
Cited alongside, same era.
Enlightengan: Deep light enhancement without paired supervision
Y. Jiang, X. Gong, D. Liu, Y. Cheng, C. Fang, X. Shen, J. Yang, P. Zhou, and Z. Wang · 2021
Cited alongside, same era.
Diffusionclip: Text-guided diffusion models for robust image manipulation
G. Kim, T. Kwon, and J. C. Ye · 2022
Cited alongside, same era.
Restormer: Efficient transformer for high-resolution image restoration
S. W. Zamir, A. Arora, S. Khan, M. Hayat, F. S. Khan, and M.-H. Yang · 2022
Cited alongside, same era.
Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement
A comparative study of image restoration networks for general backbone network design
X. Chen, Z. Li, Y. Pu, Y. Liu, J. Zhou, Y. Qiao, and C. Dong · 2024
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Revitalizing convolutional network for image restoration
Y. Cui, W. Ren, X. Cao, and A. Knoll · 2024
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Vitron: A unified pixel-level vision llm for understanding, generating, segmenting, editing
H. Fei, S. Wu, H. Zhang, T.-S. Chua, and S. Yan · 2024
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A survey on all-in-one image restoration: Taxonomy, evaluation and future trends
J. Jiang, Z. Zuo, G. Wu, K. Jiang, and X. Liu · 2024
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Ntire 2024 challenge on low light image enhancement: Methods and results
X. Liu, Z. Wu, A. Li, F.-A. Vasluianu, Y. Zhang, S. Gu, L. Zhang, C. Zhu, R. Timofte, Z. Jin, et al · 2024
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W. Zhang, P. Zhuang, H.-H. Sun, G. Li, S. Kwong, and C. Li · 2022
Cited alongside, same era.
Instructpix2pix: Learning to follow image editing instructions
T. Brooks, A. Holynski, and A. A. Efros · 2023
Cited alongside, same era.
Diffusion models in vision: A survey
F.-A. Croitoru, V. Hondru, R. T. Ionescu, and M. Shah · 2023
Cited alongside, same era.
Null-text inversion for editing real images using guided diffusion models
R. Mokady, A. Hertz, K. Aberman, Y. Pritch, and D. Cohen-Or · 2023
Cited alongside, same era.
Restoring vision in adverse weather conditions with patch-based denoising diffusion models
O. Özdenizci and R. Legenstein · 2023
Cited alongside, same era.
Vision transformers for single image dehazing
Y. Song, Z. He, H. Qian, and X. Du · 2023
Cited alongside, same era.
Gemini: a family of highly capable multimodal models
G. Team, R. Anil, S. Borgeaud, J.-B. Alayrac, J. Yu, R. Soricut, J. Schalkwyk, A. M. Dai, A. Hauth, K. Millican, et al · 2023
Cited alongside, same era.
Dragdiffusion: Harnessing diffusion models for interactive point-based image editing
Y. Shi, C. Xue, J. H. Liew, J. Pan, H. Yan, W. Zhang, V. Y. Tan, and S. Bai · 2024
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Underwater image quality optimization: Researches, challenges, and future trends
M. Wang, K. Zhang, H. Wei, W. Chen, and T. Zhao · 2024
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Ultralight-weight binary neural network with 1k parameters for image super-resolution
Z. Wu and D. Huang · 2024
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https://platform.openai.com/docs/models/gpt-image-1
Openai model documentation: gpt-image-1 · 2025
Closest in time.
Mambairv2: Attentive state space restoration
H. Guo, Y. Guo, Y. Zha, Y. Zhang, W. Li, T. Dai, S.-T. Xia, and Y. Li · 2025
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Meshpad: Interactive sketch-conditioned artist-designed mesh generation and editing
H. Li, Z. Erkoc, L. Li, D. Sirigatti, V. Rozov, A. Dai, and M. Nießner · 2025
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C. Wu, J. Li, J. Zhou, J. Lin, K. Gao, K. Yan, S.-m. Yin, S. Bai, X. Xu, Y. Chen, et al · 2025
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Gpt-imgeval: A comprehensive benchmark for diagnosing gpt4o in image generation
Z. Yan, J. Ye, W. Li, Z. Huang, S. Yuan, X. He, K. Lin, J. He, C. He, and L. Yuan · 2025
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