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 211–220 of 381 papers

TitleStatusHype
That's What I Said: Fully-Controllable Talking Face Generation—0
A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation—0
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder—0
MusicFace: Music-driven Expressive Singing Face Synthesis—0
High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited DataCode0
UniFLG: Unified Facial Landmark Generator from Text or Speech—0
Uncovering Bias in Face Generation Models—0
LC-NeRF: Local Controllable Face Generation in Neural Randiance Field—0
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks—0
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation—0
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