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Found 13 papers, 3 papers with code
EmoFace: Audio-driven Emotional 3D Face Animation
Our approach can generate facial expressions with multiple emotions, and has the ability to generate random yet natural blinks and eye movements, while maintaining accurate lip synchronization.
Cost-Effective RF Fingerprinting Based on Hybrid CVNN-RF Classifier with Automated Multi-Dimensional Early-Exit Strategy
However, DL algorithms face the computational cost problem as the difficulty of the RFF task and the size of the DNN have increased dramatically.
EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis
Achieving disentangled control over multiple facial motions and accommodating diverse input modalities greatly enhances the application and entertainment of the talking head generation.
LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network
To address this, we propose a novel location refined feature pyramid network (LR-FPN) to enhance the extraction of shallow positional information and facilitate fine-grained context interaction.
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization
Specifically, we develop a flow-based coefficient generator that encodes the dynamics of facial emotion into a multi-emotion-class latent space represented as a mixture distribution.
Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style
Although automatically animating audio-driven talking heads has recently received growing interest, previous efforts have mainly concentrated on achieving lip synchronization with the audio, neglecting two crucial elements for generating expressive videos: emotion style and art style.
Say Anything with Any Style
To adapt to different speaking styles, we steer clear of employing a universal network by exploring an elaborate HyperStyle to produce the style-specific weights offset for the style branch.
HyperStyle3D: Text-Guided 3D Portrait Stylization via Hypernetworks
While the use of 3D-aware GANs bypasses the requirement of 3D data, we further alleviate the necessity of style images with the CLIP model being the stylization guidance.
Instant Photorealistic Neural Radiance Fields Stylization
Our approach models a neural radiance field based on neural graphics primitives, which use a hash table-based position encoder for position embedding.
Head3D: Complete 3D Head Generation via Tri-plane Feature Distillation
Head generation with diverse identities is an important task in computer vision and computer graphics, widely used in multimedia applications.
Interactive Geometry Editing of Neural Radiance Fields
We use two proxy cages(inner cage and outer cage) to edit a scene.
EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation
During training, the emotion embedding and mouth features are used as keys, and the corresponding expression features are used as values to create key-value pairs stored in the proposed Motion Memory Net.
Latency Minimization for Multiuser Computation Offloading in Fog-Radio Access Networks
This paper considers computation offloading in fog-radio access networks (F-RAN), where multiple user equipments (UEs) offload their computation tasks to the F-RAN through a number of fog nodes.
