The CVPR conference highlighted several insightful papers this year. CoDeF tackles the issue of inconsistency in video-to-video translation by representing videos with a flattened canonical image and a deformation field, enabling unprecedented cross-frame consistency. Depth Anything revolutionizes depth estimation using a Dense Prediction Transformer (DPT) architecture, offering unparalleled generality and robustness for zero-shot depth estimation. YOLO-World bridges the gap between real-time closed-vocabulary detection and open-vocabulary object detection by combining a YOLO backbone with semantic information from a CLIP text encoder. DeepCache accelerates diffusion model inference by up to 10x, leveraging consistent high-level features throughout the denoising process. PhysGaussian integrates physical concepts like stress and elasticity into machine learning models for real-time motion synthesis.