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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 101110 of 381 papers

TitleStatusHype
Transformer Network for Semantically-Aware and Speech-Driven Upper-Face GenerationCode0
Mukh-Oboyob: Stable Diffusion and BanglaBERT enhanced Bangla Text-to-Face SynthesisCode0
Multi-Agent Diverse Generative Adversarial NetworksCode0
COCO-GAN: Generation by Parts via Conditional CoordinatingCode0
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric GuidanceCode0
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face RecognitionCode0
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery DetectionCode0
Latent Space Factorisation and Manipulation via Matrix Subspace ProjectionCode0
A Comprehensive Survey on Pose-Invariant Face RecognitionCode0
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face RecognitionCode0
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