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SotA/Computer Vision/Face Generation

Face Generation

26 benchmarks381 papers

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.

<span style="color:grey; opacity: 0.6">( Image credit: Progressive Growing of GANs for Improved Quality, Stability, and Variation )</span>

Benchmarks

Face Generation on LRS2

FID LSE-D LSE-C

Face Generation on VoxCeleb2 - 1-shot learning

CSIM LPIPS Normalized Pose Error SSIM inference time (ms)FID

Face Generation on LRS3

FID LSE-C LSE-D

Face Generation on LRW

FID LSE-C LSE-D LMD SSIM

Face Generation on VoxCeleb1 - 1-shot learning

Face Generation on VoxCeleb1 - 32-shot learning

Face Generation on VoxCeleb1 - 8-shot learning

Face Generation on VoxCeleb2 - 8-shot learning

Face Generation on 100 sleep nights of 8 caregivers

Face Generation on CREMA-D

EmoAcc FID LSE-C

Face Generation on VoxCeleb2 - 32-shot learning