SynCamVideo: Synchronized Multi-Camera Videos with Camera Poses

A multi-camera synchronized video dataset rendered using Unreal Engine 5. It includes synchronized multi-camera videos and their corresponding camera poses. The dataset was released by KlingTeam and updated on April 15, 2025.

Use Cases

• Training novel view synthesis models based on synchronized multi-camera video data.
• Developing camera pose estimation algorithms based on provided pose data.
• Benchmarking 3D reconstruction methods based on multi-view video sequences.
• Researching multi-camera synchronization and calibration techniques based on synthetic video data.

Strengths

• Dataset was updated on April 15, 2025, indicating recent maintenance.
• Data is synthetically generated, which likely allows for precise control over camera parameters and scene content.
• Includes synchronized video and camera poses, providing a multi-modal ground truth.

Limitations

• Row count, file formats, and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to synthetic generation in Unreal Engine 5.

Provenance

Source

KlingTeam

Collection Method

Rendered using Unreal Engine 5.

Time Range

null

Freshness

Last updated 2025-04-15 05:22:37

Geography

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