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

Showing 1120 of 381 papers

TitleStatusHype
DisentTalk: Cross-lingual Talking Face Generation via Semantic Disentangled Diffusion Model0
FFaceNeRF: Few-shot Face Editing in Neural Radiance FieldsCode1
UniSync: A Unified Framework for Audio-Visual Synchronization0
PC-Talk: Precise Facial Animation Control for Audio-Driven Talking Face Generation0
Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion0
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach0
JoyGen: Audio-Driven 3D Depth-Aware Talking-Face Video EditingCode3
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face SynthesisCode2
Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction0
Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with AdaptersCode1
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