mlsanityData to 7 Oct 2026

Towards Better Adversarial Synthesis of Human Images from Text

arXiv 2107.01869 ↗First posted 5 Jul 2021cs.CVcited by 7

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Abstract (arXiv)

This paper proposes an approach that generates multiple 3D human meshes from text. The human shapes are represented by 3D meshes based on the SMPL model. The model's performance is evaluated on the COCO dataset, which contains challenging human shapes and intricate interactions between individuals. The model is able to capture the dynamics of the scene and the interactions between individuals based on text. We further show how using such a shape as input to image synthesis frameworks helps to constrain the network to synthesize humans with realistic human shapes.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 27 of its 41 references that are in the map. First posted on arXiv 5 Jul 2021.

Builds on

27 of 41 references.

References · 27

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  2. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  3. 2017Improved Training of Wasserstein GANscited by 2,223
  4. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,048
  5. 2016Generative Adversarial Text to Image Synthesiscited by 735
  6. 2017AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networkscited by 664
  7. 2019Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loopcited by 625
  8. 2016StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networkscited by 575
  9. 2017Neural 3D Mesh Renderercited by 437
  10. 2017Real-valued (Medical) Time Series Generation with Recurrent Conditional GANscited by 329
  11. 2019DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesiscited by 308
  12. 2017Pose Guided Person Image Generationcited by 251
15 more
  1. 2019MirrorGAN: Learning Text-to-image Generation by Redescriptioncited by 176
  2. 2018StoryGAN: A Sequential Conditional GAN for Story Visualizationcited by 137
  3. 2016C-RNN-GAN: Continuous recurrent neural networks with adversarial trainingcited by 132
  4. 2019Generating 3D People in Scenes without Peoplecited by 127
  5. 2019Object-driven Text-to-Image Synthesis via Adversarial Trainingcited by 117
  6. 2016Learning What and Where to Drawcited by 105
  7. 2020XingGAN for Person Image Generationcited by 81
  8. 2019Putting Humans in a Scene: Learning Affordance in 3D Indoor Environmentscited by 72
  9. 2020SMPLpix: Neural Avatars from 3D Human Modelscited by 69
  10. 2017CycleGAN, a Master of Steganographycited by 63
  11. 2017Towards Diverse and Natural Image Descriptions via a Conditional GANcited by 59
  12. 2017Be Your Own Prada: Fashion Synthesis with Structural Coherencecited by 49
  13. 2020Bipartite Graph Reasoning GANs for Person Image Generationcited by 34
  14. 2019Text Guided Person Image Synthesiscited by 22
  15. 2020Adversarial Synthesis of Human Pose from Textcited by 7

Built on by

Cited by year

Citing papers per year: 2022: 2; 2023: 3; 2024: 1; 2025: 1.

7 papers.

  1. 2023ChatPose: Chatting about 3D Human Posecited by 71
  2. 2023Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generationcited by 56
  3. 2024UniPose: A Unified Multimodal Framework for Human Pose Comprehension, Generation and Editingcited by 18
  4. 2022PoseScript: Linking 3D Human Poses and Natural Languagecited by 13
  5. 2022TIPS: Text-Induced Pose Synthesiscited by 11
  6. 2023Text-Conditional Contextualized Avatars For Zero-Shot Personalizationcited by 3
  7. 2025CoT-Pose: Chain-of-Thought Reasoning for 3D Pose Generation from Abstract Promptscited by 2