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 231–240 of 381 papers

TitleStatusHype
SPEAK: Speech-Driven Pose and Emotion-Adjustable Talking Head Generation—0
LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs—0
Load Balanced GANs for Multi-view Face Image Synthesis—0
Uncovering Bias in Face Generation Models—0
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis—0
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis—0
M^3Face: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing—0
UniFLG: Unified Facial Landmark Generator from Text or Speech—0
MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images—0
Mask-Guided Portrait Editing with Conditional GANs—0
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