Papers with Code 아카이브
3D Face Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 9
- 보존된 평가 기록
- 94
3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs
3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs
Non-Deterministic Face Mask Removal Based On 3D Priors
Data standardization for robust lip sync
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction
Segmentation-Reconstruction-Guided Facial Image De-occlusion
AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs
Implicit Neural Deformation for Sparse-View Face Reconstruction
Attention based Occlusion Removal for Hybrid Telepresence Systems
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior
Self-supervised Re-renderable Facial Albedo Reconstruction from Single Image
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
A Review of 3D Face Reconstruction From a Single Image
Self-Supervised 3D Face Reconstruction via Conditional Estimation
Video Transformer for Deepfake Detection with Incremental Learning
3D human tongue reconstruction from single "in-the-wild" images
Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images
Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction
Collaborative Regression of Expressive Bodies using Moderation
3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head
Towards NIR-VIS Masked Face Recognition
Riggable 3D Face Reconstruction via In-Network Optimization
Pre-training strategies and datasets for facial representation learning
Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing
Realistic face animation generation from videos
MeInGame: Create a Game Character Face from a Single Portrait
Weakly-Supervised Multi-Face 3D Reconstruction
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.