alievk/avatarify-python

Features

• Real-Time Face Synthesis - Generates photorealistic animated frames by blending target image features with live motion data in real-time.
• Real-Time 2D Avatar Animation - Maps real-time facial movements from a camera feed onto a static image to create a photorealistic animated avatar.
• Facial Animation - Maps real-time facial movements from a camera feed onto a static image to create animated avatars.
• Facial Landmark Analysis - Maps real-time facial landmarks from a live feed to a target image for movement synchronization.
• Remote Inference Offloaders - Offloads heavy neural network inference tasks to a remote GPU server to maintain real-time performance.
• PyTorch Implementations - Implements a deep learning model using PyTorch to animate photorealistic faces based on user movements.
• 2D Avatar Animation Software - Converts static images into dynamic, photorealistic animated avatars using real-time input mapping.
• Virtual Camera Drivers - Provides a virtual camera driver that emulates physical hardware to stream processed video to other apps.
• Remote Processing Offloading - Offloads intensive neural network computations to a remote GPU server to reduce local hardware requirements.
• Virtual Video Device Simulation - Implements a virtual video device to route synthetic avatar streams as a standard webcam feed.
• Realtime Avatar Renderers - Transforms live video feeds into photorealistic animated avatars for real-time streaming.
• Synthetic Face Generators - Provides the ability to sample synthetic, non-existent human faces using generative models for use as avatars.
• Face Alignment - Implements face alignment to ensure user proportions match the target avatar's baseline.
• Pose-Based Animation Alignment - Adjusts camera zoom and reference frames to align the user's face with the target avatar.
• Generative Face Models - Uses generative face models to sample non-existent human faces for use as avatars.
• Synthetic Face Sampling - Samples synthetic, non-existent human faces from generative models to provide a library of avatars.
• Facial Baseline Optimization - Calculates a baseline facial pose manually or automatically to improve animation tracking accuracy.
• Facial Proportion Alignment - Adjusts camera zoom and translation to match the user's facial proportions with a baseline avatar image.
• Virtual Camera Integration - Routes processed animated avatar streams into third-party video conferencing software as a virtual camera input.

Star history