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U-Net Conditional GANs for Photo-Realistic and Identity-Preserving Facial Expression Synthesis

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01249-6_50openalex-snapshot
GANimation: Anatomically-Aware Facial Animation from a Single Image
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_43openalex-snapshot
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
inferredcites →https://doi.org/10.1016/j.imavis.2011.07.002openalex-snapshot
Facial expression recognition from near-infrared videos
inferredcites →https://doi.org/10.1016/j.patcog.2018.11.001openalex-snapshot
Hard negative generation for identity-disentangled facial expression recognition
inferredcites →https://doi.org/10.1016/s0921-8890(99)00103-7openalex-snapshot
Detection, tracking, and classification of action units in facial expression
inferredcites →https://doi.org/10.1037/t27732-000openalex-snapshot
Karolinska Directed Emotional Faces
inferredcites →https://doi.org/10.1075/pc.8.1.09lisopenalex-snapshot
Automatic facial expression interpretation
inferredcites →https://doi.org/10.1080/02699930903485076openalex-snapshot
Presentation and validation of the Radboud Faces Database
inferredcites →https://doi.org/10.1109/acii.2017.8273626openalex-snapshot
Photorealistic facial expression synthesis by the conditional difference adversarial autoencoder
inferredcites →https://doi.org/10.1109/cvpr.2015.7298682openalex-snapshot
FaceNet: A unified embedding for face recognition and clustering
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-snapshot
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00856openalex-snapshot
Single Image Dehazing via Conditional Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00882openalex-snapshot
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
inferredcites →https://doi.org/10.1109/cvpr.2018.00916openalex-snapshot
StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
inferredcites →https://doi.org/10.1109/cvpr.2018.00917openalex-snapshot
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
inferredcites →https://doi.org/10.1109/iccv.2017.267openalex-snapshot
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
inferredcites →https://doi.org/10.1109/iccv.2017.580openalex-snapshot
Realistic Dynamic Facial Textures from a Single Image Using GANs
inferredcites →https://doi.org/10.1109/lsp.2016.2603342openalex-snapshot
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
inferredcites →https://doi.org/10.1109/tvcg.2006.9openalex-snapshot
Geometry-driven photorealistic facial expression synthesis
inferredcites →https://doi.org/10.1145/1102351openalex-snapshot
Proceedings of the 22nd international conference on Machine learning - ICML '05
inferredcites →https://doi.org/10.1145/1198555.1198589openalex-snapshot
Synthesizing realistic facial expressions from photographs
inferredcites →https://doi.org/10.1145/133994.134003openalex-snapshot
Feature-based image metamorphosis
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/2929464.2929475openalex-snapshot
Demo of Face2Face
inferredcites →https://doi.org/10.1145/3206025.3206068openalex-snapshot
Facial Expression Synthesis by U-Net Conditional Generative Adversarial Networks
inferredcites →https://doi.org/10.1145/3240508.3240612openalex-snapshot
Geometry Guided Adversarial Facial Expression Synthesis
inferredcites →https://doi.org/10.1145/383259.383289openalex-snapshot
Expressive expression mapping with ratio images
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1610.05586openalex-snapshot
Deep Identity-aware Transfer of Facial Attributes
inferredcites →https://doi.org/10.48550/arxiv.1611.09961openalex-snapshot
Semantic Facial Expression Editing using Autoencoded Flow
inferredcites →https://doi.org/10.48550/arxiv.1703.07737openalex-snapshot
In Defense of the Triplet Loss for Person Re-Identification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-66501-2_17openalex-snapshot
Audio to Video: Generating a Talking Fake Agent
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.05.022openalex-snapshot
Intensity enhancement via GAN for multimodal face expression recognition
inferred← citeshttps://doi.org/10.1109/access.2020.3042328openalex-snapshot
Generative Adversarial Networks in Human Emotion Synthesis: A Review
inferred← citeshttps://doi.org/10.1109/fg52635.2021.9666959openalex-snapshot
Expression-Latent-Space-guided GAN for Facial Expression Animation based on Discrete Labels
inferred← citeshttps://doi.org/10.1117/1.jei.31.6.063016openalex-snapshot
DFS-GAN: stabilizing training of generative adversarial networks through discarding fake samples
inferred← citeshttps://doi.org/10.1145/3382507.3417969openalex-snapshot
Group-Level Emotion Recognition Using a Unimodal Privacy-Safe Non-Individual Approach
inferred← citeshttps://doi.org/10.1145/3394171.3413926openalex-snapshot
Animating Through Warping: An Efficient Method for High-Quality Facial Expression Animation
inferred← citeshttps://doi.org/10.1145/3446618openalex-snapshot
A Densely Connected Network Based on U-Net for Medical Image Segmentation
inferred← citeshttps://doi.org/10.1145/3517199openalex-snapshot
A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation and Comparison Study
inferred← citeshttps://doi.org/10.1145/3539577openalex-snapshot
Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child–computer Interaction
inferred← citeshttps://doi.org/10.1145/3544493openalex-snapshot
Egocentric Early Action Prediction via Adversarial Knowledge Distillation
inferred← citeshttps://doi.org/10.1145/3559107openalex-snapshot
Progressive Transformer Machine for Natural Character Reenactment
inferred← citeshttps://doi.org/10.1145/3566125openalex-snapshot
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image Denoising
inferred← citeshttps://doi.org/10.1145/3571857openalex-snapshot
High-Fidelity Face Reenactment Via Identity-Matched Correspondence Learning
inferred← citeshttps://doi.org/10.1145/3578585openalex-snapshot
Exploring the Effect of High-frequency Components in GANs Training
inferred← citeshttps://doi.org/10.1145/3579167openalex-snapshot
Dual-Lens HDR using Guided 3D Exposure CNN and Guided Denoising Transformer
inferred← citeshttps://doi.org/10.1145/3635717openalex-snapshot
Head3D: Complete 3D Head Generation via Tri-plane Feature Distillation
inferred← citeshttps://doi.org/10.1145/3653456openalex-snapshot
New Metrics and Dataset for Biological Development Video Generation
inferred← citeshttps://doi.org/10.12785/ijcds/160193openalex-snapshot
Generative Adversarial Networks for Facial Expression Recognition in the Wild
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