Papers about FaceSwap in Deepfake are also summarized in the repo awesome-faceSwap.

• The Creation and Detection of Deepfakes: A Survey (arXiv 2020) [paper]
• DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection (arXiv 2020) [paper]
• A Review on Face Reenactment Techniques (I4Tech 2020) [paper]
• What comprises a good talking-head video generation?: A Survey and Benchmark (arXiv 2020) [paper]
• Deep Audio-Visual Learning: A Survey (arXiv 2020) [paper]
• Critical review of human face reenactment methods (JIG 2022) (Chinese)[paper]

• MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions (ICCV, 2023) [paper] [project]
• Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis (ICCV, 2023) [paper]
• High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning (ICCV, 2023) [paper]
• EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation(ICCV, 2023) [paper]
• Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation (ICCV, 2023) [paper] [code]
• Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors (ICCV, 2023) [paper]
• DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation (CVPR, 2023) [paper] [code]
• Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis (CVPR, 2023) [paper] [webpage]
• One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field (CVPR, 2023) [paper] [webpage]
• Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert (CVPR, 2023) [paper]
• LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook (CVPR, 2023) [paper]
• High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning (CVPR, 2023) [paper]
• OTAvatar : One-shot Talking Face Avatar with Controllable Tri-plane Rendering (CVPR, 2023) [paper] [code]
• IP_LAP: Identity-Preserving Talking Face Generation with Landmark and Appearance Priors (CVPR, 2023) [code]
• SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation (CVPR, 2023) [paper] [webpage] [code]
• DPE: Disentanglement of Pose and Expression for General Video Portrait Editing (CVPR, 2023) [paper] [webpage] [code]
• StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles (AAAI, 2023) [paper] [code]
• DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video (AAAI, 2023) [paper] [code]
• Audio-Visual Face Reenactment (WACV, 2023) [paper] [webpage] [code]
• Emotionally Enhanced Talking Face Generation (Arxiv, 2023) [paper] [webpage] [code]
• Compact Temporal Trajectory Representation for Talking Face Video Compression (TCSVT, 2023) [paper]

• VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild (SIGGRAPH ASIA, 2022) [paper] [code]
• Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis (ECCV, 2022) [paper] [code]
• Compressing Video Calls using Synthetic Talking Heads (BMVC, 2022) [paper] [webpage]
• Expressive Talking Head Generation With Granular Audio-Visual Control (CVPR, 2022) [paper]
• EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model (SIGGRAPH, 2022) [paper]
• Emotion-Controllable Generalized Talking Face Generation (IJCAI, 2022) [paper]
• StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pretrained StyleGAN (ECCV, 2022) [paper]
• SyncTalkFace: Talking Face Generation with Precise Lip-syncing via Audio-Lip Memory (AAAI, 2022) [paper]
• One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning (AAAI, 2022) [paper]
• Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels (TMM, 2022) [paper]
• Audio-driven Dubbing for User Generated Contents via Style-aware Semi-parametric Synthesis (TCSVT, 2022) [paper]

• Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation (SIGGRAPH ASIA, 2021) [paper]
• Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis (MM, 2021) [paper] [code]
• Towards Realistic Visual Dubbing with Heterogeneous Sources (MM, 2021) [paper]
• Talking Head Generation with Audio and Speech Related Facial Action Units (BMVC, 2021) [paper]
• 3D Talking Face with Personalized Pose Dynamics (TVCG, 2021) [paper]
• Talking Head Generation with Audio and Speech Related Facial Action Units (BMVC, 2021) [paper]
• FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning (ICCV, 2021) [paper] [code]
• AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis (ICCV, 2021) [paper] [code]
• Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion (IJCAI, 2021) [paper]
• Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual Dataset (CVPR, 2021) [paper]
• Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation (CVPR, 2021) [paper] [code]
• Audio-Driven Emotional Video Portraits (CVPR, 2021) [paper] [code]
• Everything's Talkin': Pareidolia Face Reenactment (CVPR, 2021) [paper]
• APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment (ICASSP, 2021) [paper] [code]

• Talking-head Generation with Rhythmic Head Motion (ECCV, 2020) [paper] [code]
• MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation (ECCV, 2020) [paper] [code]
• A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild (MM, 2020) [paper] [code]
• Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning (IJCAI, 2020) [paper]
• APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals (ICASSP, 2020) [paper] [code]
• MakeItTalk: Speaker-Aware Talking Head Animation (SIGGRAPH ASIA, 2020) [paper] [code]
• Everybody’s Talkin’: Let Me Talk as You Want (arXiv, 2020) [paper]
• Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose (arXiv, 2020) [paper] [code]
• Multimodal inputs driven talking face generation with spatial–temporal dependency (TCSVT, 2020) [paper]

• Talking Face Generation by Adversarially Disentangled Audio-Visual Representation(AAAI, 2019) [paper]
• Towards Automatic Face-to-Face Translation (MM, 2019) [paper] [code]
• Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (ICCV, 2019) [paper]
• Learning the Face Behind a Voice (CVPR, 2019) [paper] [code]
• Hierarchical Cross-Modal Talking Face Generation with Dynamic Pixel-Wise Loss (CVPR, 2019) [paper] [code]
• Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks (ICASSP, 2019) [paper] [code]
• Face Reconstruction from Voice using Generative Adversarial Networks (NIPS, 2019) [paper]
• Talking Face Generation by Conditional Recurrent Adversarial Network (IJCAI, 2019) [paper] [code]

• 3D-Aware Talking-Head Video Motion Transfer (WACV, 2024) [paper]

• High-Fidelity and Freely Controllable Talking Head Video Generation (CVPR, 2023) [paper]
• MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation (CVPR, 2023) [paper] [webpage] [code]
• HR-Net: a landmark based high realistic face reenactment network (TCSVT, 2023) [paper]

• Dual-Generator Face Reenactment (CVPR, 2022) [paper]
• Depth-Aware Generative Adversarial Network for Talking Head Video Generation (CVPR, 2022) [paper]
• Latent Image Animator: Learning to Animate Images via Latent Space Navigation (ICLR, 2022) [paper]
• Finding Directions in GAN’s Latent Space for Neural Face Reenactment (BMVC, 2022) [paper][code]
• FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment (PAMI, 2022) [paper]

• PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering (ICCV, 2021) [paper]
• LI-Net: Large-Pose Identity-Preserving Face Reenactment Network (ICME, 2021) [paper]
• One-shot Face Reenactment Using Appearance Adaptive Normalization (AAAI, 2021) [paper]
• A unified framework for high fidelity face swap and expression reenactment (TCSVT, 2021) [paper]

• One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing (arXiv, 2020) [paper]
• FACEGAN: Facial Attribute Controllable rEenactment GAN (WACV, 2020) [paper]
• LandmarkGAN: Synthesizing Faces from Landmarks (arXiv, 2020) [paper]
• Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars (ECCV, 2020) [paper] [code]
• Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks (MM, 2020) [paper]
• Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment (CVPR, 2020) [paper]
• ReenactNet: Real-time Full Head Reenactment (arXiv, 2020) [paper]
• FReeNet: Multi-Identity Face Reenactment (CVPR, 2020) [paper] [code]
• FaR-GAN for One-Shot Face Reenactment (CVPRW, 2020) [paper]
• One-Shot Identity-Preserving Portrait Reenactment (, 2020) [paper]
• Neural Head Reenactment with Latent Pose Descriptors (CVPR, 2020) [paper] [code]
• ActGAN: Flexible and Efficient One-shot Face Reenactment (IWBF, 2020) [paper]
• Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose (AAAI, 2020) [paper]
• First Order Motion Model for Image Animation (NIPS, 2020) [paper] [code]

• FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis (AAAI, 2019) [paper]
• MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets (AAAI, 2019) [paper]
• Any-to-one Face Reenactment Based on Conditional Generative Adversarial Network (APSIPA, 2019) [paper]
• Make a Face: Towards Arbitrary High Fidelity Face Manipulation (ICCV, 2019) [paper]
• One-shot Face Reenactment (BMVC, 2019) [paper] [code]
• Deferred neural rendering: image synthesis using neural textures (TOG, 2019) [paper]
• Animating Arbitrary Objects via Deep Motion Transfer (CVPR, 2019) [paper] [code]
• FSGAN: Subject Agnostic Face Swapping and Reenactment (ICCV, 2019) [paper] [code]

• GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV, 2018) [paper] [code]
• ReenactGAN: Learning to Reenact Faces via Boundary Transfer (ECCV, 2018) [paper] [code]
• Deep Video Portraits (SIGGRAPH, 2018) [paper]
• X2Face: A Network for Controlling Face Generation Using Images, Audio, and Pose Codes (ECCV, 2018) [paper] [code]

• Face2Face: Real-time Face Capture and Reenactment of RGB Videos (CVPR, 2016) [paper]

• Lip movements generation at a glance (ECCV, 2018) [paper]

• Synthesizing Obama: learning lip sync from audio (TOG, 2017) [paper]
• You said that? (BMVC, 2017) [paper] [code]