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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
HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face GenerationCode2
Identity-Preserving Talking Face Generation with Landmark and Appearance PriorsCode2
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
3DFaceShop: Explicitly Controllable 3D-Aware Portrait GenerationCode2
FaceScore: Benchmarking and Enhancing Face Quality in Human GenerationCode2
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face SynthesisCode2
DPE: Disentanglement of Pose and Expression for General Video Portrait EditingCode2
Collaborative Diffusion for Multi-Modal Face Generation and EditingCode2
CelebV-HQ: A Large-Scale Video Facial Attributes DatasetCode2
Emotionally Enhanced Talking Face GenerationCode2
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