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Real-Time Portrait Stylization on the Edge

arXiv 2206.01244 ↗First posted 2 Jun 2022cs.CV eess.IVcited by 0

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Abstract (arXiv)

In this work we demonstrate real-time portrait stylization, specifically, translating self-portrait into cartoon or anime style on mobile devices. We propose a latency-driven differentiable architecture search method, maintaining realistic generative quality. With our framework, we obtain 10× computation reduction on the generative model and achieve real-time video stylization on off-the-shelf smartphone using mobile GPUs.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 23 of its 27 references that are in the map. First posted on arXiv 2 Jun 2022.

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References · 23

  1. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
  2. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,588
  3. 2013Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computationcited by 2,079
  4. 2015Learning both Weights and Connections for Efficient Neural Networkscited by 2,031
  5. 2016Neural Architecture Search with Reinforcement Learningcited by 1,499
  6. 2018Multimodal Unsupervised Image-to-Image Translationcited by 795
  7. 2017Channel Pruning for Accelerating Very Deep Neural Networkscited by 702
  8. 2020Contrastive Learning for Unpaired Image-to-Image Translationcited by 639
  9. 2017Unsupervised Image-to-Image Translation Networkscited by 603
  10. 2019DRIT++: Diverse Image-to-Image Translation via Disentangled Representationscited by 244
  11. 2019Few-Shot Unsupervised Image-to-Image Translationcited by 222
  12. 2019U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translationcited by 186
11 more
  1. 2019Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translationcited by 97
  2. 2019AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networkscited by 77
  3. 2020AutoGAN-Distiller: Searching to Compress Generative Adversarial Networkscited by 50
  4. 2020GAN Slimming: All-in-One GAN Compression by A Unified Optimization Frameworkcited by 44
  5. 2021Teachers Do More Than Teach: Compressing Image-to-Image Modelscited by 37
  6. 2021GANs Can Play Lottery Tickets Toocited by 32
  7. 2020Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Frameworkcited by 27
  8. 2021AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generationcited by 25
  9. 2020DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Searchcited by 21
  10. 2021GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)cited by 13
  11. 2020Generative Adversarial Networks for photo to Hayao Miyazaki style cartoonscited by 2

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