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 171–180 of 381 papers

TitleStatusHype
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
Semantics-Preserving Sketch Embedding for Face Generation—0
Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching—0
StyleNAT: Giving Each Head a New PerspectiveCode1
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory—0
Taiwanese-Accented Mandarin and English Multi-Speaker Talking-Face Synthesis System—0
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark—0
Controllable Radiance Fields for Dynamic Face Synthesis—0
BareSkinNet: De-makeup and De-lighting via 3D Face Reconstruction—0
3DFaceShop: Explicitly Controllable 3D-Aware Portrait GenerationCode2
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