Bringing Photos to Life | Ai Image Generator From Image | | | Turtles AI

  #Google researchers present a way to #animate still #photos with natural #motions like trees swaying. Their #method learns to predict possible pixel movements from videos, generating new frames by warping the input photo accordingly. This approach creates smoother, more realistic animations than previous techniques. Researchers at Google introduce a new approach for turning still images into realistic video animations featuring natural motion such as trees swaying or clothes fluttering. The key idea is learning a "neural stochastic motion texture" prior from videos of real-world scenes exhibiting oscillatory dynamics. This motion texture represents a frequency-based distribution over possible pixel trajectories that can be sampled from and decoded into video frames. A diffusion model first predicts the texture from a single input photo. An image-based rendering module then animates the input by warping and generating content along the predicted trajectories. Experiments demonstrate the method creates higher-quality animations than recent baselines, with applications like slowing down motions and interactive manipulation. Overall, this work offers advances in generative video synthesis and controlling imagined dynamics in static pictures. Highlights: - Learns to predict pixel motion trajectories from real videos - Animates input photos by warping along predicted movements - Creates smoother and more realistic oscillations than baselines - Allows applications like slowing down and interacting with motions   This work opens up new creative possibilities for extrapolating dynamics from static pictures. Many other applications come to mind for this technology! Could inferring plausible motions from photos help visualize or understand a scene more fully? I'm curious to hear other perspectives on the potential uses. The authors provide a live demo to try. Click here to access it!