mlsanityData to 7 Oct 2026

FIRST: A Million-Entry Dataset for Text-Driven Fashion Synthesis and Design

arXiv 2311.07414 ↗First posted 13 Nov 2023cs.CVcited by 4

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Abstract (arXiv)

Text-driven fashion synthesis and design is an extremely valuable part of artificial intelligence generative content(AIGC), which has the potential to propel a tremendous revolution in the traditional fashion industry. To advance the research on text-driven fashion synthesis and design, we introduce a new dataset comprising a million high-resolution fashion images with rich structured textual(FIRST) descriptions. In the FIRST, there is a wide range of attire categories and each image-paired textual description is organized at multiple hierarchical levels. Experiments on prevalent generative models trained over FISRT show the necessity of FIRST. We invite the community to further develop more intelligent fashion synthesis and design systems that make fashion design more creative and imaginative based on our dataset. The dataset will be released soon.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 48 of its 60 references that are in the map. First posted on arXiv 13 Nov 2023.

Builds on

48 of 60 references.

References · 48

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  4. 2020Language Models are Few-Shot Learnerscited by 32,199
  5. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  6. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  7. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  8. 2023GPT-4 Technical Reportcited by 18,132
  9. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  10. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  11. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  12. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
36 more
  1. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  2. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  3. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  4. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
  5. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,736
  6. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  7. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
  8. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
  9. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  10. 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,903
  11. 2015Show, Attend and Tell: Neural Image Caption Generation with Visual Attentioncited by 1,421
  12. 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Modelscited by 1,419
  13. 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
  14. 2022Diffusion Models in Vision: A Surveycited by 1,008
  15. 2022Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translationcited by 897
  16. 2021ILVR: Conditioning Method for Denoising Diffusion Probabilistic Modelscited by 634
  17. 2019Meshed-Memory Transformer for Image Captioningcited by 343
  18. 2019Attention on Attention for Image Captioningcited by 289
  19. 2021VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalizationcited by 287
  20. 2017VITON: An Image-based Virtual Try-on Networkcited by 285
  21. 2022Post-training Quantization on Diffusion Modelscited by 262
  22. 2016Image Captioning with Semantic Attentioncited by 260
  23. 2016Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioningcited by 231
  24. 2016SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioningcited by 219
  25. 2022Dual Diffusion Implicit Bridges for Image-to-Image Translationcited by 212
  26. 2022Sketch-Guided Text-to-Image Diffusion Modelscited by 180
  27. 2022Dress Code: High-Resolution Multi-Category Virtual Try-Oncited by 161
  28. 2022StyleGAN-Human: A Data-Centric Odyssey of Human Generationcited by 143
  29. 2018Unsupervised Image Captioningcited by 79
  30. 2023Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editingcited by 62
  31. 2019Towards Unsupervised Image Captioning with Shared Multimodal Embeddingscited by 54
  32. 2022BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesiscited by 44
  33. 2023Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networkscited by 26
  34. 2022MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translationcited by 22
  35. 2022ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Designcited by 16
  36. 2021Object-Centric Unsupervised Image Captioningcited by 9

Built on by

Cited by year

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

4 papers.

  1. 2023Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Designcited by 3
  2. 2024Automatic Generation of Fashion Images using Prompting in Generative Machine Learning Modelscited by 2
  3. 2024Prompt2Fashion: An automatically generated fashion datasetcited by 0
  4. 2025Cross-Cultural Fashion Design via Interactive Large Language Models and Diffusion Modelscited by 0