Google DeepMind released GenCeption, a model built on pre-trained video generation Wan2.1, excelling in depth estimation, segmentation, and 3D pose estimation with near or superior performance. It uses only 7,500 synthetic videos for training, far less than traditional models, and generalizes to real-world multi-person scenarios. Inference speed remains a challenge at 6-10 seconds per 81-frame video.