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 91–100 of 381 papers

TitleStatusHype
Controllable 3D Face Generation with Conditional Style Code DiffusionCode1
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation—0
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis—0
VectorTalker: SVG Talking Face Generation with Progressive Vectorisation—0
Cross-Age Contrastive Learning for Age-Invariant Face Recognition—0
High-Fidelity Face Swapping with Style Blending—0
GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face GuidanceCode0
Neural Text to Articulate Talk: Deep Text to Audiovisual Speech Synthesis achieving both Auditory and Photo-realismCode1
FT2TF: First-Person Statement Text-To-Talking Face Generation—0
RetriBooru: Leakage-Free Retrieval of Conditions from Reference Images for Subject-Driven Generation—0
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