SOTAVerified

Face Generation

Face generation is the task of generating (or interpolating) new faces from an existing dataset.

The state-of-the-art results for this task are located in the Image Generation parent.

( Image credit: Progressive Growing of GANs for Improved Quality, Stability, and Variation )

Papers

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Showing 201–210 of 381 papers

TitleStatusHype
Talking Face Generation with Multilingual TTS—0
Emotion-Controllable Generalized Talking Face Generation—0
Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGANCode1
Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks—0
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination—0
AnyFace: Free-style Text-to-Face Synthesis and Manipulation—0
An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection—0
Region-Aware Face Swapping—0
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGANCode2
Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild—0
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