Research map / 3D vision / 3D generation
ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use ARShadowGAN instead of Mask-ShadowGAN | AR shadow generation · Shadow-AR test set | RMSE: 7.493 -> 6.520 | Helped |
| use ARShadowGAN instead of Mask-ShadowGAN | AR shadow generation · Shadow-AR test set | Shadow-region BER (S): 23.261 -> 22.278 | Helped |
| add the attention block (ablation) | ARShadowGAN · Shadow-AR test set | RMSE: 7.175 -> 6.520 | Helped |
| add the refinement module (ablation) | ARShadowGAN · Shadow-AR test set | RMSE: 7.050 -> 6.520 | Helped |
| add the adversarial loss and discriminator (ablation) | ARShadowGAN · Shadow-AR test set | RMSE: 7.781 -> 6.520 | Helped |
| add the perceptual loss (ablation) | ARShadowGAN · Shadow-AR test set | RMSE: 8.001 -> 6.520 | Helped |
| add the pixel-wise L2 loss (ablation) | ARShadowGAN · Shadow-AR test set | RMSE: 9.696 -> 6.520 | Helped |
Closest papers by meaning
- Shadow Generation Using Diffusion Model with Geometry Prior (CVPR 2025 · similarity 0.85)
- Gaussian Shadow Casting for Neural Characters (CVPR 2024 · similarity 0.85)
- Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling (AAAI 2024 · similarity 0.84)
- MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation (NeurIPS 2025 · similarity 0.84)
- OmniSR: Shadow Removal Under Direct and Indirect Lighting (AAAI 2025 · similarity 0.84)
- LightIt: Illumination Modeling and Control for Diffusion Models (CVPR 2024 · similarity 0.83)
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