Papers 3D Face Modelling
“3D Face Modelling” 태그가 달린 논문 31편 · 필터 해제
LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example
Recent advances in 3D face stylization have made significant strides in few to zero-shot settings. However, the degree of stylization achieved by existing methods is often not sufficient for practical applications becaus…
3D Face Animation3D Face ModellingFace GenerationFace Model+13DMM-RF: Convolutional Radiance Fields for 3D Face Modeling
Facial 3D Morphable Models are a main computer vision subject with countless applications and have been highly optimized in the last two decades. The tremendous improvements of deep generative networks have created vario…
3D Face ModellingNovel View SynthesisControllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
3D face modeling has been an active area of research in computer vision and computer graphics, fueling applications ranging from facial expression transfer in virtual avatars to synthetic data generation. Existing 3D dee…
3D Face ModellingFace ModelSynthetic Data GenerationCross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
This work digs into a root question in human perception: can face geometry be gleaned from one's voices? Previous works that study this question only adopt developments in image synthesis and convert voices into face ima…
3D Face Modelling3D Face ReconstructionImage GenerationControllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition
Recent studies have revealed the vulnerability of face recognition models against physical adversarial patches, which raises security concerns about the deployed face recognition systems. However, it is still challenging…
3D Face ModellingFace RecognitionPhysically-Guided Disentangled Implicit Rendering for 3D Face Modeling
This paper presents a novel Physically-guided Disentangled Implicit Rendering (PhyDIR) framework for high-fidelity 3D face modeling. The motivation comes from two observations: widely-used graphics renderers yield ex…
3D Face ModellingNeural RenderingLearning To Restore 3D Face From In-the-Wild Degraded Images
In-the-wild 3D face modelling is a challenging problem as the predicted facial geometry and texture suffer from a lack of reliable clues or priors, when the input images are degraded. To address such a problem, in th…
3D Face ModellingFace ReconstructionCoNeRF: Controllable Neural Radiance Fields
We extend neural 3D representations to allow for intuitive and interpretable user control beyond novel view rendering (i.e. camera control). We allow the user to annotate which part of the scene one wishes to control wit…
3D Face Modelling3D ReconstructionAttributeFew-Shot LearningSynergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
This work studies learning from a synergy process of 3D Morphable Models (3DMM) and 3D facial landmarks to predict complete 3D facial geometry, including 3D alignment, face orientation, and 3D face modeling. Our synergy …
3D Face Alignment3D Face Modelling3D Face ReconstructionFace Alignment+10.8% Nyquist computational ghost imaging via non-experimental deep learning
We present a framework for computational ghost imaging based on deep learning and customized pink noise speckle patterns. The deep neural network in this work, which can learn the sensing model and enhance image reconstr…
3D Face ModellingDeep LearningDomain Generalization+6Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection
Non-parametric face modeling aims to reconstruct 3D face only from images without shape assumptions. While plausible facial details are predicted, the models tend to over-depend on local color appearance and suffer from …
3D Face ModellingAttributeLearning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images
The 3D Morphable Model (3DMM), which is a Principal Component Analysis (PCA) based statistical model that represents a 3D face using linear basis functions, has shown promising results for reconstructing 3D faces from si…
3D Face Modelling3D Face ReconstructionFace ReconstructionFormAccurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network
This work focuses on complete 3D facial geometry prediction, including 3D facial alignment via 3D face modeling and face orientation estimation using the proposed multi-task, multi-modal, and multi-representation landmar…
3D Face ModellingLearning an Animatable Detailed 3D Face Model from In-The-Wild Images
While current monocular 3D face reconstruction methods can recover fine geometric details, they suffer several limitations. Some methods produce faces that cannot be realistically animated because they do not model how w…
3D Face Alignment3D Face Animation3D Face Modelling3D Face Reconstruction+43D-Aided Data Augmentation for Robust Face Understanding
Data augmentation has been highly effective in narrowing the data gap and reducing the cost for human annotation, especially for tasks where ground truth labels are difficult and expensive to acquire. In face recognition…
3D Face ModellingData AugmentationFace RecognitionTowards Fast, Accurate and Stable 3D Dense Face Alignment
Existing methods of 3D dense face alignment mainly concentrate on accuracy, thus limiting the scope of their practical applications. In this paper, we propose a novel regression framework named 3DDFA-V2 which makes a bal…
3D Face Modelling3D Face ReconstructionCPUFace Alignment+2GIF: Generative Interpretable Faces
Photo-realistic visualization and animation of expressive human faces have been a long standing challenge. 3D face modeling methods provide parametric control but generates unrealistic images, on the other hand, generati…
3D Face ModellingDisentanglementFace ModelJNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling
In this paper, we introduce a novel approach to learn a 3D face model using a joint-based face rig and a neural skinning network. Thanks to the joint-based representation, our model enjoys some significant advantages ove…
3D Face ModellingFace ModelRotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
Though face rotation has achieved rapid progress in recent years, the lack of high-quality paired training data remains a great hurdle for existing methods. The current generative models heavily rely on datasets with mul…
3D Face ModellingData AugmentationFace Recognition3D Face Modeling From Diverse Raw Scan Data
Traditional 3D face models learn a latent representation of faces using linear subspaces from limited scans of a single database. The main roadblock of building a large-scale face model from diverse 3D databases lies in …
3D Face Modelling3D Face ReconstructionDecoderFace Model+2