Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
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Abstract (arXiv)
Recently 3D-aware GAN methods with neural radiance field have developed rapidly. However, current methods model the whole image as an overall neural radiance field, which limits the partial semantic editability of synthetic results. Since NeRF renders an image pixel by pixel, it is possible to split NeRF in the spatial dimension. We propose a Compositional Neural Radiance Field (CNeRF) for semantic 3D-aware portrait synthesis and manipulation. CNeRF divides the image by semantic regions and learns an independent neural radiance field for each region, and finally fuses them and renders the complete image. Thus we can manipulate the synthesized semantic regions independently, while fixing the other parts unchanged. Furthermore, CNeRF is also designed to decouple shape and texture within each semantic region. Compared to state-of-the-art 3D-aware GAN methods, our approach enables fine-grained semantic region manipulation, while maintaining high-quality 3D-consistent synthesis. The ablation studies show the effectiveness of the structure and loss function used by our method. In addition real image inversion and cartoon portrait 3D editing experiments demonstrate the application potential of our method.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 44 of its 53 references that are in the map. First posted on arXiv 3 Feb 2023.
Builds on
44 of 53 references.
References · 44
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
- 2014Deep Learning Face Attributes in the Wildcited by 3,679
- 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
- 2020Implicit Neural Representations with Periodic Activation Functionscited by 2,214
- 2017Rethinking Atrous Convolution for Semantic Image Segmentationcited by 2,154
- 2018Demystifying MMD GANscited by 1,268
- 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
- 2021Alias-Free Generative Adversarial Networkscited by 1,181
- 2021Volume Rendering of Neural Implicit Surfacescited by 990
- 2019Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representationscited by 864
- 2020GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fieldscited by 784
32 more
- 2020pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesiscited by 708
- 2020Implicit Geometric Regularization for Learning Shapescited by 707
- 2019Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervisioncited by 699
- 2019Interpreting the Latent Space of GANs for Semantic Face Editingcited by 691
- 2020GRAF: Generative Radiance Fields for 3D-Aware Image Synthesiscited by 688
- 2018Which Training Methods for GANs do actually Converge?cited by 672
- 2019MaskGAN: Towards Diverse and Interactive Facial Image Manipulationcited by 624
- 2021Designing an Encoder for StyleGAN Image Manipulationcited by 542
- 2021StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesiscited by 477
- 2021Pivotal Tuning for Latent-based Editing of Real Imagescited by 427
- 2019SAL: Sign Agnostic Learning of Shapes from Raw Datacited by 389
- 2019MONet: Unsupervised Scene Decomposition and Representationcited by 388
- 2020Local Implicit Grid Representations for 3D Scenescited by 372
- 2019Multi-Object Representation Learning with Iterative Variational Inferencecited by 359
- 2020StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flowscited by 348
- 2020Implicit Functions in Feature Space for 3D Shape Reconstruction and Completioncited by 343
- 2020Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstructioncited by 321
- 2021StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generationcited by 289
- 2020Neural Unsigned Distance Fields for Implicit Function Learningcited by 265
- 2020Swapping Autoencoder for Deep Image Manipulationcited by 215
- 2016Attend, Infer, Repeat: Fast Scene Understanding with Generative Modelscited by 209
- 2018X2Face: A network for controlling face generation by using images, audio, and pose codescited by 189
- 2021FENeRF: Face Editing in Neural Radiance Fieldscited by 112
- 2021SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editingcited by 58
- 2022Neural Texture Extraction and Distribution for Controllable Person Image Synthesiscited by 55
- 2017LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generationcited by 36
- 2020RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spacescited by 32
- 2019Object Discovery with a Copy-Pasting GANcited by 29
- 2022Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fieldscited by 29
- 2021Compositional Transformers for Scene Generationcited by 24
- 2020Learning to Manipulate Individual Objects in an Imagecited by 22
- 2020MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generationcited by 16
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Citing papers per year: 2023: 6; 2024: 3; 2025: 1.
10 papers.
- 2023AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesiscited by 16
- 2023Learning Dense Correspondence for NeRF-Based Face Reenactmentcited by 12
- 2023AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexingcited by 8
- 2023MaTe3D: Mask-guided Text-based 3D-aware Portrait Editingcited by 3
- 2024SemanticHuman-HD: High-Resolution Semantic Disentangled 3D Human Generationcited by 3
- 2023A General Implicit Framework for Fast NeRF Composition and Renderingcited by 2
- 20243D-SSGAN: Lifting 2D Semantics for 3D-Aware Compositional Portrait Synthesiscited by 2
- 2025SuperNeRF-GAN: A Universal 3D-Consistent Super-Resolution Framework for Efficient and Enhanced 3D-Aware Image Synthesiscited by 2
- 2023Freestyle 3D-Aware Portrait Synthesis Based on Compositional Generative Priorscited by 0
- 2024Pomo3D: 3D-Aware Portrait Accessorizing and Morecited by 0
- 2025SuperNeRF-GAN: A Universal 3D-Consistent Super-Resolution Framework for Efficient and Enhanced 3D-Aware Image Synthesis12 Jan 2025
- 2024Pomo3D: 3D-Aware Portrait Accessorizing and More22 Sep 2024
- 2024SemanticHuman-HD: High-Resolution Semantic Disentangled 3D Human Generation15 Mar 2024
- 20243D-SSGAN: Lifting 2D Semantics for 3D-Aware Compositional Portrait Synthesis8 Jan 2024
- 2023AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis18 Dec 2023
- 2023Learning Dense Correspondence for NeRF-Based Face Reenactment16 Dec 2023
- 2023MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing12 Dec 2023
- 2023AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing3 Dec 2023
- 2023A General Implicit Framework for Fast NeRF Composition and Rendering9 Aug 2023
- 2023Freestyle 3D-Aware Portrait Synthesis Based on Compositional Generative Priors27 Jun 2023