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We propose Generative Probabilistic Image Colorization, a diffusion-based generative process that trains a sequence of probabilistic models to reverse each step of noise corruption.
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Image-to-Image Translation with Conditional Adversarial Networks. In IEEE Computer Vision and Pattern Recognition (CVPR)
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Probabilistic Image Colorization
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Scribbler: Controlling Deep Image Synthesis with Sketch and Color. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis. In IEEE Conference on Computer Vision and Pattern Recognition
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Mish: A self regularized non-monotonic neural activation function
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Lookahead Optimizer: k steps forward, 1 step back
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SRFlow: Learning the Super-Resolution Space with Normalizing Flow. In ECCV
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Denoising Diffusion Probabilistic Models. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 6840–6851
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Cited alongside, same era.
Real-Time User-Guided Image Colorization with Learned Deep Priors
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S Lin, Tianhe Yu, and Alexei A Efros. 2017 · 2017
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Toward multimodal image-to-image translation. In Advances in Neural Information Processing Systems
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, and Eli Shechtman. 2017 · 2017
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User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks. In ACM Multimedia Conference
Yuanzheng Ci, Xinzhu Ma, Zhihui Wang, Haojie Li, and Zhongxuan Luo. 2018 · 2018
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Deep exemplar-based colorization
Mingming He, Dongdong Chen, Jing Liao, Pedro V Sander, and Lu Yuan. 2018 · 2018
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Multimodal Unsupervised Image-to-image Translation. In ECCV
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz. 2018 · 2018
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Glow: Generative flow with invertible 1x1 convolutions. In Advances in Neural Information Processing Systems . 10215–10224
Diederik P Kingma and Prafulla Dhariwal. 2018 · 2018
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Two-stage Sketch Colorization
LvMin Zhang, Chengze Li, Tien-Tsin Wong, Yi Ji, and ChunPing Liu. 2018b · 2018
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Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
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VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, and Shogo Seki. 2020 · 2020
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On the Variance of the Adaptive Learning Rate and Beyond. In Proceedings of the Eighth International Conference on Learning Representations (ICLR 2020)
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, and Jiawei Han. 2020 · 2020
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Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng. 2020 · 2020
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Gradient-Centralization: A New Optimization Technique for Deep Neural Networks
Hongwei Yong, Jianqiang Huang, Xiansheng Hua, and Lei Zhang. 2020 · 2020
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WaveGrad: Estimating Gradients for Waveform Generation. In International Conference on Learning Representations
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J Weiss, Mohammad Norouzi, and William Chan. 2021 · 2021
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Score-Based Generative Modeling through Stochastic Differential Equations. In International Conference on Learning Representations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole. 2021 · 2021
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User-Guided Line Art Flat Filling with Split Filling Mechanism. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Lvmin Zhang, Chengze Li, Edgar Simo-Serra, Yi Ji, Tien-Tsin Wong, and Chunping Liu. 2021 · 2021
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