When you can define the frames of an animation in your code, utilising the AnimationDrawable class API, it's more simply accomplished with just one XML file that lists the frames that compose the animation. The XML apply for this sort of animation belongs in the res/drawable/ directory of one's Android project. In cases like this, the instructions are the order and duration for every frame of the animation.

Animate Photos AI is an advanced software powered by deep learning technology that permits users to animate photos automatically and quickly in a hassle-free way. It generates an animated video with the movement of the face area and eyes automatically within a short period and you're able to enjoy moving images with blinking eyes and changing facial features. When you have old photos you want to create your, utilize the tool to animate photos and have fun.

Animate Photos AI uses machine learning to animate a person's face, making the procedure easier. This easy-to-use AI-based tool has taken the planet by storm as you will blow life to your old family photos with just an easy tap To show the power of the algorithm the team used images of graffiti, cartoon characters, NBA star Stephen Curry, and Picasso paintings.

At the crux of the task is really a unique approach which allows the researchers to more closely warp a 2D cutout of a person in a still image, enabling the algorithm to generate a realistic 3D animated mesh that matches the type in the image.
Using NVIDIA TITAN GPUs and the cuDNN-accelerated PyTorch deep learning framework the researchers based their software on a pre-trained model called SMP

Summary of the method. Given a photograph, person detection, 2D pose estimation, and person segmentation, is performed using off-the-shelf algorithms. Then, A SMPL template model is fit to the 2D pose and projected in to the image as a normal map and a skinning map. The core of our bodies is: look for a mapping between person's silhouette and the SMPL silhouette, warp the SMPL normal/skinning maps to the output, and build a depth map by integrating the warped normal map.

This technique is repeated to simulate the model's back view and combine depth and skinning maps to make a complete, rigged 3D mesh. The mesh is further textured, and animated using motion capture sequences on an inpainted background. As shown in the graphic above, the program first segments the human body from the image and superimposes a 3D mesh onto the shape. The mesh will then be animated to create the photo or painting to life. L, which was developed by a group at Microsoft and the Max Planck Institute for Intelligent Systems in Germany.