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Incremental Transformer Structure Enhanced Image Inpainting With Masking Positional Encoding

CVPR 2022 · Image generation › Autoregressive and latent generation · approach: Generative latent space tooling · 210 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add transformer-restored structure features and masked positional encoding to the pretrained FTR inpainting backboneFTR, evaluated as ZITS · Indoor (256×256), mixed masksPSNR: 25.20 -> 25.57Helped
Add transformer-restored structure features and masked positional encoding to the pretrained FTR inpainting backboneFTR, evaluated as ZITS · Places2 (256×256), mixed masksLPIPS: 0.155 -> 0.108Helped
Add MPE (ablation)FTR on Indoor · IndoorPSNR: 25.20 -> 25.31Helped
Add structural information without ZeroRA (ablation)FTR on Indoor · IndoorPSNR: 25.20 -> 25.28No clear effect
Add ZeroRA for incremental fusion of structural features (ablation)FTR on Indoor · IndoorPSNR: 25.28 -> 25.57Helped
Add gated convolutions in the structure feature encoder (ablation)FTR + SFE + MPE + ReZero · IndoorPSNR: 25.51 -> 25.57Helped
Add MPE (ablation)ZITS during 512×512 Places2 finetuning · Places2 (512×512)FID: 26.29 -> 26.08Helped
Replace one standard attention module with axial attention (ablation)TSR · Indoor, inferenceFPS: 6.41 -> 7.89Helped
Replace one standard attention module with axial attention (ablation)TSR · Indoor, inferenceGPU memory: 14845 -> 10547Helped
Add axial attention while retaining the same metric setting (ablation)TSR · Indoor edge and line reconstructionAverage F1: 46.26 -> 46.26No clear effect
Add relative position encoding to axial attention (ablation)TSR · Indoor edge and line reconstructionAverage F1: 46.26 -> 46.72Helped
Multiply line logits by 4 before sigmoid (ablation)TSR · Indoor and Places2 line reconstructionRecallMixed

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