OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person

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Learning to transfer texture from clothing images to 3d humans

Aymen Mir, Thiemo Alldieck, and Gerard Pons-Moll · 2020

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Viton-hd: High-resolution virtual try-on via misalignment-aware normalization

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Shape controllable virtual try-on for underwear models

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Learning transferable visual models from natural language supervision

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Single stage virtual try-on via deformable attention flows

Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, and Hongxia Yang · 2022

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Weakly supervised high-fidelity clothing model generation

Taming the power of diffusion models for high-quality virtual try-on with appearance flow

Junhong Gou, Siyu Sun, Jianfu Zhang, Jianlou Si, Chen Qian, and Liqing Zhang · 2023

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Smpl: A skinned multi-person linear model

Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2023

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Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on

Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, and Rita Cucchiara · 2023

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Sdxl: Improving latent diffusion models for high-resolution image synthesis

Original

Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023

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Adding conditional control to text-to-image diffusion models, 2023

Lvmin Zhang and Maneesh Agrawala · 2023

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