3D Face Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 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>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lissomx/MSP
공식 코드Latent Space Factorisation and Manipulation via Matrix Subspace Projection
https://github.com/littlejuyan/df_fairness
공식 코드https://github.com/liu-tianchi/nes2net
공식 코드Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing
https://github.com/liuf1990/3DFC
공식 코드https://github.com/liuhw01/Norface
공식 코드Norface: Improving Facial Expression Analysis by Identity Normalization
https://github.com/liutaocode/DiffDub
공식 코드DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder
https://github.com/liuwei16/CSP
공식 코드Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
https://github.com/liuyuisanai/trojans-face-recognizer
공식 코드https://github.com/liuyvchi/NROLL
공식 코드Boosting Semi-Supervised Face Recognition with Noise Robustness
https://github.com/liuyvchi/mie-x
공식 코드How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild
공식 코드Global Texture Enhancement for Fake Face Detection in the Wild
https://github.com/liwenchao0615/zerrinnet
공식 코드Zero-Shot Enhancement of Low-Light Image Based on Retinex Decomposition
https://github.com/lizhaoliu-Lec/DAS
공식 코드https://github.com/lizhenwangt/faceverse
공식 코드FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset
https://github.com/ljj898/cmdfd-dataset-and-deepfake-detection
공식 코드Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection
https://github.com/ljuvela/collaborative-watermarking-with-codecs
공식 코드Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesis
https://github.com/ljw-git/arbitrary_resolution_rppg
공식 코드Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos
https://github.com/lmbxmu/EPruner
공식 코드https://github.com/longph1989/Socrates
공식 코드SOCRATES: Towards a Unified Platform for Neural Network Analysis
https://github.com/louisbearing/hmo-audio
공식 코드A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation
https://github.com/louisbearing/unconditionalheadmotion
공식 코드Autoregressive GAN for Semantic Unconditional Head Motion Generation
https://github.com/lovesiamesecat/favit
공식 코드Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer
https://github.com/lsibabnikz/ai-kd
공식 코드AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation
https://github.com/lsibabnikz/faceqan
공식 코드FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration
https://github.com/lsibabnikz/optimization-based-improvement-of-fiqa-techniques
공식 코드Optimization-Based Improvement of Face Image Quality Assessment Techniques
https://github.com/lsy0882/FakeMix
공식 코드WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake Detection
https://github.com/ltrottier/deep-collaboration-network
공식 코드Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection
https://github.com/lucasxlu/TransFBP
공식 코드Transferring Rich Deep Features for Facial Beauty Prediction
https://github.com/luisrui/seeing-ai-system
공식 코드https://github.com/lukasstruppek/class_attribute_inference_attacks
공식 코드https://github.com/lukecq1231/generalized-pooling
공식 코드https://github.com/lupaopao/gpt4affectivity
공식 코드GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing
https://github.com/lustoo/fghv
공식 코드Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing
https://github.com/luxiangju-PersonAI/iCartoonFace
공식 코드https://github.com/lwkjjonak/quantum_neural_network_classifiers
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.