Chronodepth V1
ChronoDepth is a temporally consistent video depth learning method based on video diffusion priors, capable of learning and predicting depth information from videos.
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Release Time : 12/2/2024
Model Overview
This model utilizes video diffusion prior technology to achieve temporal consistency in video depth estimation, making it suitable for video depth prediction tasks.
Model Features
Temporal Consistency
Ensures temporal consistency in video depth prediction through video diffusion prior technology
Video Depth Estimation
Specifically designed for depth estimation on video data rather than single images
Diffusion Model Based
Utilizes stable video diffusion model as the foundational architecture
Model Capabilities
Video Depth Estimation
Temporal Consistency Prediction
Video Analysis
Use Cases
Computer Vision
Video Depth Prediction
Performs frame-by-frame depth prediction on input videos
Generates a sequence of depth maps with temporal consistency
Augmented Reality/Virtual Reality
3D Scene Reconstruction
Reconstructs 3D scenes based on video input
Can be used for scene understanding in AR/VR applications
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