Research map / Image generation / Super-resolution
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add the image-restoration phase after event-to-image reconstruction | EventSR · event-to-image reconstruction dataset [cite] | PSNR: 23.26±3.60 -> 26.75±2.85 | Helped |
| add the image-restoration phase after event-to-image reconstruction | EventSR · Ev-RW | LPIPS: 0.35 -> 0.32 | Helped |
| remove the super-resolution phase adversarial and event-similarity losses (ablation) | EventSR · event-to-SR image reconstruction | visual quality | Hurt |
| remove the restoration-phase adversarial and event-similarity losses (ablation) | EventSR · event-to-SR image reconstruction | clean-image restoration | Hurt |
| remove the reconstruction-phase adversarial and event-similarity losses (ablation) | EventSR · event-to-SR image reconstruction | reconstruction quality | Hurt |
| replace the learned restoration and super-resolution phases with pretrained DeblurGAN and EDSR (ablation) | EventSR · event-to-SR image reconstruction | visual quality | Hurt |
| train the reconstruction phase using ESIM-RW simulated data | EventSR · real-world event data | visual reconstruction quality | Helped |
| use both simulated and real-world data during training | EventSR · simulated and real-world scenes | network performance | Helped |
Closest papers by meaning
- LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising (CVPR 2024 · similarity 0.88)
- Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting (NeurIPS 2024 · similarity 0.88)
- E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning (AAAI 2024 · similarity 0.88)
- Event-Enhanced Blurry Video Super-Resolution (AAAI 2025 · similarity 0.87)
- AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes (AAAI 2025 · similarity 0.87)
- V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation (NeurIPS 2025 · similarity 0.87)
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