Papers Facial expression generation
“Facial expression generation” 태그가 달린 논문 22편 · 필터 해제
HAPI: A Model for Learning Robot Facial Expressions from Human Preferences
Automatic robotic facial expression generation is crucial for human-robot interaction, as handcrafted methods based on fixed joint configurations often yield rigid and unnatural behaviors. Although recent automated techn…
Bayesian OptimizationFacial expression generationLearning-To-RankEmo3D: Metric and Benchmarking Dataset for 3D Facial Expression Generation from Emotion Description
Existing 3D facial emotion modeling have been constrained by limited emotion classes and insufficient datasets. This paper introduces "Emo3D", an extensive "Text-Image-Expression dataset" spanning a wide spectrum of huma…
BenchmarkingFacial expression generationEmpowering Sign Language Communication: Integrating Sentiment and Semantics for Facial Expression Synthesis
Translating written sentences from oral languages to a sequence of manual and non-manual gestures plays a crucial role in building a more inclusive society for deaf and hard-of-hearing people. Facial expressions (non-man…
Facial expression generationSentenceSign Language ProductionTowards Localized Fine-Grained Control for Facial Expression Generation
Generative models have surged in popularity recently due to their ability to produce high-quality images and video. However, steering these models to produce images with specific attributes and precise control remains ch…
AnatomyFace GenerationFacial expression generationFacEnhance: Facial Expression Enhancing with Recurrent DDPMs
Facial expressions, vital in non-verbal human communication, have found applications in various computer vision fields like virtual reality, gaming, and emotional AI assistants. Despite advancements, many facial expressi…
Computational EfficiencyDenoisingFacial expression generationAnimateMe: 4D Facial Expressions via Diffusion Models
The field of photorealistic 3D avatar reconstruction and generation has garnered significant attention in recent years; however, animating such avatars remains challenging. Recent advances in diffusion models have notabl…
DenoisingFacial expression generation4D Facial Expression Diffusion Model
Facial expression generation is one of the most challenging and long-sought aspects of character animation, with many interesting applications. The challenging task, traditionally having relied heavily on digital craftsp…
DenoisingFacial expression generationmodelFacial Expression Video Generation Based-On Spatio-temporal Convolutional GAN: FEV-GAN
Facial expression generation has always been an intriguing task for scientists and researchers all over the globe. In this context, we present our novel approach for generating videos of the six basic facial expressions.…
Facial expression generationVideo GenerationFExGAN-Meta: Facial Expression Generation with Meta Humans
The subtleness of human facial expressions and a large degree of variation in the level of intensity to which a human expresses them is what makes it challenging to robustly classify and generate images of facial express…
Facial expression generationExplore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network
Facial expressions are a form of non-verbal communication that humans perform seamlessly for meaningful transfer of information. Most of the literature addresses the facial expression recognition aspect however, with the…
Facial expression generationFacial Expression RecognitionFacial Expression Recognition (FER)Generative Adversarial NetworkBPLF: A Bi-Parallel Linear Flow Model for Facial Expression Generation from Emotion Set Images
The flow-based generative model is a deep learning generative model, which obtains the ability to generate data by explicitly learning the data distribution. Theoretically its ability to restore data is stronger than oth…
Facial expression generationSparse to Dense Dynamic 3D Facial Expression Generation
In this paper, we propose a solution to the task of generating dynamic 3D facial expressions from a neutral 3D face and an expression label. This involves solving two sub-problems: (i)modeling the temporal dynamics of ex…
3D Face AnimationDecoderFace GenerationFacial expression generationSynthetic Expressions are Better Than Real for Learning to Detect Facial Actions
Critical obstacles in training classifiers to detect facial actions are the limited sizes of annotated video databases and the relatively low frequencies of occurrence of many actions. To address these problems, we propo…
Facial expression generationDeep Multi-Facial Patches Aggregation Network For Facial Expression Recognition
In this paper, we propose an approach for Facial Expressions Recognition (FER) based on a deep multi-facial patches aggregation network. Deep features are learned from facial patches using deep sub-networks and aggregate…
Data AugmentationDeep LearningFacial expression generationFacial Expression Recognition+1Deep Multi-Facial patches Aggregation Network for Expression Classification from Face Images
Emotional Intelligence in Human-Computer Interaction has attracted increasing attention from researchers in multidisciplinary research fields including psychology, computer vision, neuroscience, artificial intelligence, …
Data AugmentationEmotional IntelligenceFacial expression generationGeneral ClassificationDynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets
In this work, we propose a novel approach for generating videos of the six basic facial expressions given a neutral face image. We propose to exploit the face geometry by modeling the facial landmarks motion as curves en…
Data AugmentationEmotion RecognitionFacial expression generationGenerative Adversarial Network+1Expression Conditional GAN for Facial Expression-to-Expression Translation
In this paper, we focus on the facial expression translation task and propose a novel Expression Conditional GAN (ECGAN) which can learn the mapping from one image domain to another one based on an additional expression …
AttributeFacial expression generationFacial Expression TranslationTranslationThe Many Moods of Emotion
This paper presents a novel approach to the facial expression generation problem. Building upon the assumption of the psychological community that emotion is intrinsically continuous, we first design our own continuous e…
Emotion ClassificationFacial expression generationGenerative Adversarial NetworkControllable Image-to-Video Translation: A Case Study on Facial Expression Generation
The recent advances in deep learning have made it possible to generate photo-realistic images by using neural networks and even to extrapolate video frames from an input video clip. In this paper, for the sake of both fu…
Facial expression generationImage-to-Image TranslationTranslationVideo GenerationInteractive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions
A social interaction is a social exchange between two or more individuals,where individuals modify and adjust their behaviors in response to their interaction partners. Our social interactions are one of most fundamental…
Facial expression generation