Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360deg
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Abstract (arXiv)
Creating a 360deg parametric model of a human head is a very challenging task. While recent advancements have demonstrated the efficacy of leveraging synthetic data for building such parametric head models, their performance remains inadequate in crucial areas such as expression-driven animation, hairstyle editing, and text-based modifications. In this paper, we build a dataset of artist-designed high-fidelity human heads and propose to create a novel parametric 360deg renderable parametric head model from it. Our scheme decouples the facial motion/shape and facial appearance, which are represented by a classic parametric 3D mesh model and an attached neural texture, respectively. We further propose a training method for decompositing hairstyle and facial appearance, allowing free-swapping of the hairstyle. A novel inversion fitting method is presented based on single image input with high generalization and fidelity. To the best of our knowledge, our model is the first parametric 3D full-head that achieves 360deg free-view synthesis, image-based fitting, appearance editing, and animation within a single model. Experiments show that facial motions and appearances are well disentangled in the parametric space, leading to SOTA performance in rendering and animating quality. The code and SynHead100 dataset are released at https://nju-3dv.github.io/projects/Head360.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 46 of its 71 references that are in the map. First posted on arXiv 1 Aug 2024.
Builds on
46 of 71 references.
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34 more
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Built on by
Citing papers per year: 2024: 2; 2025: 5; 2026: 2.
9 papers.
- 2024IDOL: Instant Photorealistic 3D Human Creation from a Single Imagecited by 55
- 2025PanoLAM: Large Avatar Model for Gaussian Full-Head Synthesis from One-shot Unposed Imagecited by 7
- 2025HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesiscited by 6
- 2024Towards Native Generative Model for 3D Head Avatarcited by 5
- 2025TeRA: Rethinking Text-guided Realistic 3D Avatar Generationcited by 5
- 2025EmoDiffTalk:Emotion-aware Diffusion for Editable 3D Gaussian Talking Headcited by 1
- 2025ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Modelscited by 1
- 2026Head Similarity: Modeling Structured Whole-Head Appearance Beyond Face Recognitioncited by 1
- 2026ManifoldSplat: Language-Guided Semantic Shape Editing of 3D Gaussian Head Avatarscited by 0
- 2026ManifoldSplat: Language-Guided Semantic Shape Editing of 3D Gaussian Head Avatars2 Oct 2026
- 2026Head Similarity: Modeling Structured Whole-Head Appearance Beyond Face Recognition8 May 2026
- 2025ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models16 Dec 2025
- 2025EmoDiffTalk:Emotion-aware Diffusion for Editable 3D Gaussian Talking Head30 Nov 2025
- 2025HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis20 Sep 2025
- 2025PanoLAM: Large Avatar Model for Gaussian Full-Head Synthesis from One-shot Unposed Image9 Sep 2025
- 2025TeRA: Rethinking Text-guided Realistic 3D Avatar Generation2 Sep 2025
- 2024IDOL: Instant Photorealistic 3D Human Creation from a Single Image19 Dec 2024
- 2024Towards Native Generative Model for 3D Head Avatar2 Oct 2024