Face Generation

114 papers with code • 1 benchmarks • 5 datasets

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 )

Libraries

Use these libraries to find Face Generation models and implementations

Head Rotation in Denoising Diffusion Models

asperti/head-rotation 11 Aug 2023

Denoising Diffusion Models (DDM) are emerging as the cutting-edge technology in the realm of deep generative modeling, challenging the dominance of Generative Adversarial Networks.

2
11 Aug 2023

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

acit-lausanne/refacing-cgan 26 May 2023

To evaluate the performance of the proposed de-identification tool, a comparative study was conducted between several existing defacing and refacing tools, with two different segmentation algorithms (FAST and Morphobox).

0
26 May 2023

Identity-Preserving Talking Face Generation with Landmark and Appearance Priors

Weizhi-Zhong/IP_LAP CVPR 2023

Prior landmark characteristics of the speaker's face are employed to make the generated landmarks coincide with the facial outline of the speaker.

523
15 May 2023

Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models

antonibigata/Laughing-Matters 15 May 2023

Speech-driven animation has gained significant traction in recent years, with current methods achieving near-photorealistic results.

12
15 May 2023

High-Fidelity 3D Face Generation from Natural Language Descriptions

zhuhao-nju/describe3d CVPR 2023

Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence.

83
05 May 2023

Collaborative Diffusion for Multi-Modal Face Generation and Editing

ziqihuangg/collaborative-diffusion CVPR 2023

In this work, we present Collaborative Diffusion, where pre-trained uni-modal diffusion models collaborate to achieve multi-modal face generation and editing without re-training.

365
20 Apr 2023

DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

mk-minchul/dcface CVPR 2023

Our novel Patch-wise style extractor and Time-step dependent ID loss enables DCFace to consistently produce face images of the same subject under different styles with precise control.

108
14 Apr 2023

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert

sxjdwang/talklip CVPR 2023

To address the problem, we propose using a lip-reading expert to improve the intelligibility of the generated lip regions by penalizing the incorrect generation results.

339
29 Mar 2023

Emotionally Enhanced Talking Face Generation

sahilg06/EmoGen 21 Mar 2023

To mitigate this, we build a talking face generation framework conditioned on a categorical emotion to generate videos with appropriate expressions, making them more realistic and convincing.

302
21 Mar 2023

High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data

thinkercache/stylegan2-ada-pytorch 8 Mar 2023

In this study, for the first time, a small dataset of Rosacea with 300 full-face images is utilized to further investigate the possibility of generating synthetic data.

0
08 Mar 2023