mlsanityData to 7 Oct 2026

Style-ERD: Responsive and Coherent Online Motion Style Transfer

arXiv 2203.02574 ↗First posted 4 Mar 2022cs.CV cs.LGcited by 17

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Abstract (arXiv)

Motion style transfer is a common method for enriching character animation. Motion style transfer algorithms are often designed for offline settings where motions are processed in segments. However, for online animation applications, such as realtime avatar animation from motion capture, motions need to be processed as a stream with minimal latency. In this work, we realize a flexible, high-quality motion style transfer method for this setting. We propose a novel style transfer model, Style-ERD, to stylize motions in an online manner with an Encoder-Recurrent-Decoder structure, along with a novel discriminator that combines feature attention and temporal attention. Our method stylizes motions into multiple target styles with a unified model. Although our method targets online settings, it outperforms previous offline methods in motion realism and style expressiveness and provides significant gains in runtime efficiency

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 23 of its 64 references that are in the map. First posted on arXiv 4 Mar 2022.

Builds on

23 of 64 references.

References · 23

  1. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
  2. 2016Improved Techniques for Training GANscited by 2,938
  3. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  4. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  5. 2016Instance Normalization: The Missing Ingredient for Fast Stylizationcited by 1,187
  6. 2016Least Squares Generative Adversarial Networkscited by 1,000
  7. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
  8. 2018Which Training Methods for GANs do actually Converge?cited by 672
  9. 2017On human motion prediction using recurrent neural networkscited by 336
  10. 2021Robust Motion In-betweeningcited by 223
  11. 2019Few-Shot Unsupervised Image-to-Image Translationcited by 222
  12. 2016Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networkscited by 192
11 more
  1. 2016Controlling Perceptual Factors in Neural Style Transfercited by 99
  2. 2020Unpaired Motion Style Transfer from Video to Animationcited by 94
  3. 2020Sample-efficient Cross-Entropy Method for Real-time Planningcited by 90
  4. 2018Arbitrary Style Transfer with Deep Feature Reshufflecited by 75
  5. 2017Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Lossescited by 69
  6. 2018A Style-Aware Content Loss for Real-time HD Style Transfercited by 58
  7. 2018Recurrent Transition Networks for Character Locomotioncited by 52
  8. 2018Learning Linear Transformations for Fast Arbitrary Style Transfercited by 48
  9. 2020ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skillscited by 44
  10. 2019Multimodal Style Transfer via Graph Cutscited by 32
  11. 2021Discovering Diverse Athletic Jumping Strategiescited by 15

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 1; 2024: 3; 2025: 4; 2026: 8.

17 papers.

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  1. 2022ArtFID: Quantitative Evaluation of Neural Style Transfercited by 49
  2. 2024SMooDi: Stylized Motion Diffusion Modelcited by 37
  3. 2024MoST: Motion Style Transformer between Diverse Action Contentscited by 18
  4. 2025Dance Like a Chicken: Low-Rank Stylization for Human Motion Diffusioncited by 16
  5. 2025Dynamic Motion Blending for Versatile Motion Editingcited by 13
  6. 2023MOCHA: Real-Time Motion Characterization via Context Matchingcited by 8
  7. 2025GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domaincited by 7
  8. 2026VQ-Style: Disentangling Style and Content in Motion with Residual Quantized Representationscited by 3
  9. 2024MulSMo: Multimodal Stylized Motion Generation by Bidirectional Control Flowcited by 2
  10. 2025ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generationcited by 1
  11. 2026ExpertEdit: Learning Skill-Aware Motion Editing from Expert Videoscited by 1
  12. 2026Robo-Saber: Generating and Simulating Virtual Reality Playerscited by 0
5 more
  1. 2026MotionMERGE: A Multi-granular Framework for Human Motion Editing, Reasoning, Generation, and Explanationcited by 0
  2. 2026EMA: Effort Metric Attention for Anatomical Effort-Guided Human Motion Diffusioncited by 0
  3. 2026STyMo: Fast and Controllable Few-Shot Motion Style Transfercited by 0
  4. 2026Flexible Motion Generation from Language and Style Referencescited by 0
  5. 2026MorphoStyle: Motion Style Transfer with Morphology Controlcited by 0