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 301–310 of 381 papers

TitleStatusHype
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Human-Like Sketches—0
Cross-Domain Face Synthesis using a Controllable GANCode0
On the Detection of Digital Face ManipulationCode1
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Incremental learning for the detection and classification of GAN-generated imagesCode1
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis—0
Is There Mode Collapse? A Case Study on Face Generation and Its Black-box Calibration—0
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning—0
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial NetworksCode0
MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences—0
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