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 151–160 of 381 papers

TitleStatusHype
Emotionally Enhanced Talking Face GenerationCode2
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
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face SynthesisCode1
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face SynthesisCode4
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks—0
DPE: Disentanglement of Pose and Expression for General Video Portrait EditingCode2
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation—0
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