Multi-style Neural Radiance Field with AdaIN
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Abstract (arXiv)
In this work, we propose a novel pipeline that combines AdaIN and NeRF for the task of stylized Novel View Synthesis. Compared to previous works, we make the following contributions: 1) We simplify the pipeline. 2) We extend the capabilities of model to handle the multi-style task. 3) We modify the model architecture to perform well on styles with strong brush strokes. 4) We implement style interpolation on the multi-style model, allowing us to control the style between any two styles and the style intensity between the stylized output and the original scene, providing better control over the stylization strength.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 11 references that are in the map. First posted on arXiv 7 Jun 2024.
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8 of 11 references.
References · 8
- 2014Microsoft COCO: Common Objects in Contextcited by 17,608
- 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
- 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 2,010
- 2015A Neural Algorithm of Artistic Stylecited by 483
- 2017Demystifying Neural Style Transfercited by 152
- 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
- 2021Stylizing 3D Scene via Implicit Representation and HyperNetworkcited by 103
- 2016Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesiscited by 102
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