Papers Text-to-Face Generation
“Text-to-Face Generation” 태그가 달린 논문 10편 · 필터 해제
MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance
Generating human portraits is a hot topic in the image generation area, e.g. mask-to-face generation and text-to-face generation. However, these unimodal generation methods lack controllability in image generation. Contr…
Face GenerationImage Generationmultimodal generationText-to-Face GenerationUnite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
Generating photos satisfying multiple constraints find broad utility in the content creation industry. A key hurdle to accomplishing this task is the need for paired data consisting of all modalities (i.e., constraints) …
Face GenerationFace Sketch SynthesisImage Generationmultimodal generation+3Text-to-Face Generation with StyleGAN2
Synthesizing images from text descriptions has become an active research area with the advent of Generative Adversarial Networks. The main goal here is to generate photo-realistic images that are aligned with the input d…
AttributeFace GenerationImage GenerationText-to-Face Generation+2AnyFace: Free-style Text-to-Face Synthesis and Manipulation
Existing text-to-image synthesis methods generally are only applicable to words in the training dataset. However, human faces are so variable to be described with limited words. So this paper proposes the first free-styl…
DiversityFace GenerationImage GenerationImage Reconstruction+2Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model
This work proposes a cyclic generative adversarial network with spatial-wise and channel-wise attention modules for text-to-face synthesis and manipulation. Then, we explore the pre-trained transformer-based BERT model t…
AttributeFace GenerationGenerative Adversarial NetworkSSIM+1AI-generated characters for supporting personalized learning and well-being
Advancements in machine learning have recently enabled the hyper-realistic synthesis of prose, images, audio and video data, in what is referred to as artificial intelligence (AI)-generated media. These techniques offer …
Face ReenactmentNeural RenderingTalking Head GenerationText-to-Face GenerationParallel and High-Fidelity Text-to-Lip Generation
As a key component of talking face generation, lip movements generation determines the naturalness and coherence of the generated talking face video. Prior literature mainly focuses on speech-to-lip generation while ther…
Face GenerationTalking Face GenerationText-to-Face GenerationVocal Bursts Intensity PredictionFaces à la Carte: Text-to-Face Generation via Attribute Disentanglement
Text-to-Face (TTF) synthesis is a challenging task with great potential for diverse computer vision applications. Compared to Text-to-Image (TTI) synthesis tasks, the textual description of faces can be much more complic…
AttributeDisentanglementFace GenerationFace Model+1Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
Powerful generative adversarial networks (GAN) have been developed to automatically synthesize realistic images from text. However, most existing tasks are limited to generating simple images such as flowers from caption…
Face GenerationFace ReconstructionText-to-Face GenerationFTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation
As a sub-domain of text-to-image synthesis, text-to-face generation has huge potentials in public safety domain. With lack of dataset, there are almost no related research focusing on text-to-face synthesis. In this pape…
DecoderFace GenerationGenerative Adversarial NetworkImage Generation+1