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 251–260 of 381 papers

TitleStatusHype
F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration—0
F?D: On understanding the role of deep feature spaces on face generation evaluation—0
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization—0
SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing—0
Self-supervised Correlation Mining Network for Person Image Generation—0
Semantics-Preserving Sketch Embedding for Face Generation—0
Semi-supervised FusedGAN for Conditional Image Generation—0
Single Image, Any Face: Generalisable 3D Face Generation—0
Sketch2Human: Deep Human Generation with Disentangled Geometry and Appearance Control—0
Sonic: Shifting Focus to Global Audio Perception in Portrait Animation—0
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