Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition | Paper Citation Record

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This paper cites Imagen 3.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Imagen 3

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Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Unresolved cited work

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This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 3

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This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 4

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This paper cites Magic clothing: Controllable garment-driven image synthesis.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Magic clothing: Controllable garment-driven image synthesis

Reference 5

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This paper cites Viton-hd: High-resolution virtual try-on via misalignment-aware normalization.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Viton-hd: High-resolution virtual try-on via misalignment-aware normalization

Reference 6

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This paper cites Improving diffusion models for vir- tual try-on.arXiv e-prints, pages arXiv–2403.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Improving diffusion models for vir- tual try-on.arXiv e-prints, pages arXiv–2403

Reference 7

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This paper cites Towards multi-pose guided virtual try-on network.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Towards multi-pose guided virtual try-on network

Reference 8

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This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 9

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This paper cites Generative adversarial nets.Advances in neural information processing systems, 27.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Generative adversarial nets.Advances in neural information processing systems, 27

Reference 10

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This paper cites Any2anytryon: Leveraging adaptive position embeddings for versatile virtual clothing tasks.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Any2anytryon: Leveraging adaptive position embeddings for versatile virtual clothing tasks

Reference 11

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This paper cites Pulid: Pure and lightning id customization via contrastive alignment.Advances in neural information pro- cessing systems, 37:36777–36804.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Pulid: Pure and lightning id customization via contrastive alignment.Advances in neural information pro- cessing systems, 37:36777–36804

Reference 12

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This paper cites Viton: An image-based virtual try-on network.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Viton: An image-based virtual try-on network

Reference 13

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This paper cites EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts

Reference 14

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This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 15

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This paper cites An introduction to flow matching and diffusion models.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition An introduction to flow matching and diffusion models

Reference 16

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This paper cites Fashionon: Semantic-guided image-based virtual try-on with detailed human and clothing information.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Fashionon: Semantic-guided image-based virtual try-on with detailed human and clothing information

Reference 17

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This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Lora: Low-rank adaptation of large language models.ICLR, 1(2):3

Reference 18

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This paper cites Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis

Reference 19

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This paper cites A style-based generator architecture for generative adversarial networks.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition A style-based generator architecture for generative adversarial networks

Reference 20

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This paper cites Are these the same apple? comparing images based on object intrinsics.Advances in Neural Information Processing Systems, 36:40853–40871.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Are these the same apple? comparing images based on object intrinsics.Advances in Neural Information Processing Systems, 36:40853–40871

Reference 21

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This paper cites Tryongan: Body-aware try-on via layered interpolation.ACM Transactions on Graphics (TOG), 40(4):1–10.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Tryongan: Body-aware try-on via layered interpolation.ACM Transactions on Graphics (TOG), 40(4):1–10

Reference 22

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This paper cites Toward accurate and realistic outfits visualization with atten- tion to details.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Toward accurate and realistic outfits visualization with atten- tion to details

Reference 23

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This paper cites AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario

Reference 24

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This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 25

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This paper cites Dual diffusion for unified image generation and understanding.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Dual diffusion for unified image generation and understanding

Reference 26

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This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.Advances in Neural Information Processing Sys- tems, 35:17612–17625.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.Advances in Neural Information Processing Sys- tems, 35:17612–17625

Reference 27

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This paper cites Flow Matching for Generative Modeling.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Flow Matching for Generative Modeling

Reference 28

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This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 29

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This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Deepfashion: Powering robust clothes recognition and retrieval with rich annotations

Reference 30

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This paper cites ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling

Reference 31

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This paper cites Dress code: High- resolution multi-category virtual try-on.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Dress code: High- resolution multi-category virtual try-on

Reference 32

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This paper cites Dreamo: A unified framework for image customization.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Dreamo: A unified framework for image customization

Reference 33

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This paper cites Image based virtual try-on network from unpaired data.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Image based virtual try-on network from unpaired data

Reference 34

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This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition DINOv2: Learning Robust Visual Features without Supervision

Reference 35

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This paper cites Scalable diffusion models with transformers.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Scalable diffusion models with transformers

Reference 36

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This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 37

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This paper cites Lumina-Image 2.0: A Unified and Efficient Image Generative Framework.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 38

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This paper cites Accept the modality gap: An exploration in the hyperbolic space.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Accept the modality gap: An exploration in the hyperbolic space

Reference 39

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This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 40

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This paper cites High-resolution image synthesis with latent diffusion models.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition High-resolution image synthesis with latent diffusion models

Reference 41

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This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 42

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494

Reference 43

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This paper cites Denoising Diffusion Implicit Models.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Denoising Diffusion Implicit Models

Reference 44

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This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 45

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This paper cites Mv-vton: Multi-view virtual try-on with diffusion models.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Mv-vton: Multi-view virtual try-on with diffusion models

Reference 46

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This paper cites StableGarment: Garment-Centric Generation via Stable Diffusion.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition StableGarment: Garment-Centric Generation via Stable Diffusion

Reference 47

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Observation e67f7521-470c-43d5-af98-9dd5cce2a6f9 · outbound

This paper cites Qwen-Image Technical Report.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Qwen-Image Technical Report

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:58:03.399254Z

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Observation c729739c-b642-4803-9bbc-15de28edd2e2 · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:58:03.393608Z

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Observation 7d859d78-5852-48be-8ed0-398e0075acd3 · outbound

This paper cites USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:58:03.425154Z

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Observation 782ebfba-ac51-4bef-8a25-91509d0b5ad7 · outbound

This paper cites Less-to-More Generalization: Unlocking More Controllability by In-Context Generation.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:58:03.316628Z

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Observation 3a5086dc-0a69-41f4-9521-678f6a2593a5 · outbound

This paper cites Omnigen: Unified image genera- tion.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Omnigen: Unified image genera- tion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:09:35.412175Z

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Observation 3411492e-d4a3-4381-8216-317a521d47e9 · outbound

This paper cites Ootd- iffusion: Outfitting fusion based latent diffusion for control- lable virtual try-on.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Ootd- iffusion: Outfitting fusion based latent diffusion for control- lable virtual try-on

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:09:35.485704Z

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Observation f57cb858-f118-4ff1-bd15-88e5b49ce136 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:58:03.405494Z

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Observation 685f8ec1-752b-488e-b6e9-9bbb7f88cd55 · outbound

This paper cites Generating high-resolution fashion model images wearing custom outfits.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Generating high-resolution fashion model images wearing custom outfits

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:09:35.471612Z

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Observation d28cfaff-25fe-4b5b-9ade-1909133ba0d5 · outbound

This paper cites Pixel-level domain transfer.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Pixel-level domain transfer

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:09:35.495742Z

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Observation caa36803-4cc9-478d-bb0d-c0ad5fac5972 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition The unreasonable effectiveness of deep features as a perceptual metric

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:09:35.424354Z

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Observation b5fa08ae-9018-49e7-99be-a4c3e4463bb8 · outbound

This paper cites Virtually trying on new clothing with arbitrary poses.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Virtually trying on new clothing with arbitrary poses

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:09:35.475784Z

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Observation 6b119ebc-16b6-4614-bbcc-c6083852a0d7 · outbound

This paper cites Learning flow fields in attention for controllable person image generation.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Learning flow fields in attention for controllable person image generation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:09:35.442279Z

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