ICDepth: Taming Video Diffusion Models for Video Depth Estimation via In-Context Conditioning

Researchers have introduced ICDepth, a new method that utilizes video diffusion models to improve depth estimation in single-camera footage. By incorporating in-context conditioning, the technique helps maintain temporal consistency and geometric precision across frames, addressing a common limitation in existing video processing models.