Methods › General › Augmented Reality Methods › ACGPN
Adaptive Content Generating and Preserving Network
ACGPN
Introduced by Han Yang et al. in Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ACGPN, or Adaptive Content Generating and Preserving Network, is a generative adversarial network for virtual try-on clothing applications.
In Step I, the Semantic Generation Module (SGM) takes the target clothing image 𝒯_c, the pose map ℳₚ, and the fused body part mask ℳ^F as the input to predict the semantic layout and to output the synthesized body part mask ℳ^S_ω and the target clothing mask ℳ^(S_c).
In Step II, the Clothes Warping Module (CWM) warps the target clothing image to 𝒯ᴿ_c according to the predicted semantic layout, where a second-order difference constraint is introduced to stabilize the warping process.
In Steps III and IV, the Content Fusion Module (CFM) first produces the composited body part mask ℳ^C_ω using the original clothing mask ℳ_c, the synthesized clothing mask ℳ^S_c, the body part mask ℳ_ω, and the synthesized body part mask ℳ_ω^S, and then exploits a fusion network to generate the try-on images ℐ^S by utilizing the information 𝒯ᴿ_c, ℳ^S_c, and the body part image I_ω from previous steps.
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content 1 Jun 2020 · 1 repository
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Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content 12 Mar 2020 · 3 repositories · arXiv:2003.05863Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
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Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach 14 Sep 2018 · 1 repository · arXiv:1809.05258
Tasks archive 2025-07-28
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