StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions
Lukas Höllein, Justin Johnson, Matthias Nießner
Abstract
We apply style transfer on mesh reconstructions of indoor scenes. This enables VR applications like experiencing 3D environments painted in the style of a favorite artist. Style transfer typically operates on 2D images, making stylization of a mesh challenging. When optimized over a variety of poses, stylization patterns become stretched out and inconsistent in size. On the other hand, model-based 3D style transfer methods exist that allow stylization from a sparse set of images, but they require a network at inference time. To this end, we optimize an explicit texture for the reconstructed mesh of a scene and stylize it jointly from all available input images. Our depth- and angle-aware optimization leverages surface normal and depth data of the underlying mesh to create a uniform and consistent stylization for the whole scene. Our experiments show that our method creates sharp and detailed results for the complete scene without view-dependent artifacts. Through extensive ablation studies, we show that the proposed 3D awareness enables style transfer to be applied to the 3D domain of a mesh. Our method <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> https://lukashoel.github.io/stylemesh/ can be used to render a stylized mesh in real-time with traditional rendering pipelines.
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Install the CLIlune papers fulltext 9ce8e2ef-d56c-4071-b58b-6d1494ba8401Cited by top-tier papers21
- SNeRF: stylized neural implicit representations for 3D scenesThu Nguyen-Phuoc, Feng Liu, Lei XiaoSIGGRAPH 2022 · 99 citations
- AesPA-Net: Aesthetic Pattern-Aware Style Transfer NetworksKibeom Hong, Seogkyu Jeon, Junsoo Lee, Namhyuk Ahn et al.ICCV 2023 · 69 citations
- RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and TextureLiangchen Song, Liangliang Cao, Hongyu Xu, Kai Kang et al.ACM MM 2023 · 35 citations
- DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture PropagationBangbang Yang, Wenqi Dong, Lin Ma, Wenbo Hu et al.IEEE VR 2024 · 24 citations
- Locally Stylized Neural Radiance FieldsHong-Wing Pang, Binh-Son Hua, Sai-Kit YeungICCV 2023 · 18 citations
Builds on7
- Texture Fields: Learning Texture Representations in Function SpaceMichael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss et al.ICCV 2019 · 334 citations
- Arbitrary Video Style Transfer via Multi-Channel CorrelationYingying Deng, Fan Tang, Weiming Dong, Haibin Huang et al.AAAI 2021 · 197 citations
- Learning to Stylize Novel ViewsHsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh et al.ICCV 2021 · 98 citations
- SPSG: Self-Supervised Photometric Scene Generation From RGB-D ScansAngela Dai, Yawar Siddiqui, Justus Thies, Julien Valentin et al.CVPR 2021
- Adversarial Texture Optimization From RGB-D ScansJingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu et al.CVPR 2020
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