• WUJI_INF
• • 🔹 Track 1: Texture restoration based on Spikes
  • • 🧩 Task 1: Spike-guided Deblur
    • 🧩 Task 2: Deocclusion
    • 🧩 Task 3: Color Reconstruction
    • 🧩 Task 4: 3D Reconstruction
  • 📫 Contact

WUJI_INF

This repository hosts the official resources for the WUJI Challenge at IJCAI 2025.

🔹 Track 1: Texture restoration based on Spikes

Track 1 focuses on high-speed, spike-based visual tasks using spike cameras. Each task is designed to explore the advantages of neuromorphic vision sensors in real-world and synthetic environments.

🧩 Task 1: Spike-guided Deblur

For details on Task 1 (Spike-guided deblur with hybrid RGB-Spike Cameras), please refer to the full dataset and submission guideline here:

🔗 Track#1-Task#1.md

Participants are expected to reconstruct both real-world and synthetic spike data. Submission should follow the prescribed folder format.

🧩 Task 2: Deocclusion

The submission format and detailed description for Task 2 (Deocclusion) please refer to guideline here:

🔗 Track#1-Task#2.md

🧩 Task 3: Color Reconstruction

For details on Task 3 (Color Reconstruction from Spike Cameras), please refer to the full dataset and submission guideline here:

🔗 Track#1-Task#3.md

Participants are expected to reconstruct both real-world and synthetic spike data. Submission should follow the prescribed folder format.

🧩 Task 4: 3D Reconstruction

For details on Task 4 (3D Reconstruction from Spike Cameras), please refer to the full dataset and submission guideline here:

🔗 Track#1-Task#4.md

Participants are expected to reconstruct both real-world and synthetic spike data. Submission should follow the prescribed folder format.

📫 Contact

For any issues, please contact the organizing team via GitHub Issues or the competition email: spikecv@outlook.com.

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