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 181–190 of 381 papers

TitleStatusHype
A Study of the Human Perception of Synthetic Faces—0
A Hybrid Model for Identity Obfuscation by Face Replacement—0
Adversarial Identity Injection for Semantic Face Image Synthesis—0
High Fidelity Face Manipulation with Extreme Poses and Expressions—0
Dynamic Conditional Networks for Few-Shot Learning—0
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model—0
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning—0
Causal Adversarial Network for Learning Conditional and Interventional Distributions—0
High Diversity Attribute Guided Face Generation with GANs—0
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss—0
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