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lelechen63/Talking-head-Generation-with-Rhythmic-Head-Motion

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Talking Head Generation With Rhythmic Head Motion

Pytorch implementation for audio driven talking-head video synthesize. Given an inputed sampled video frames and a driving audio, our model makes use of 3D facial generation process to generate a head speaking the audio. Moreover, our model achieves controllable head motion as well as facial…

Features

  • Audio Driven Synthesis - Talking head generation incorporating rhythmic head movements.

Star history

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Open-source alternatives to Talking Head Generation With Rhythmic Head Motion

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    InfiniteTalk is an open-source system for generating talking head videos driven by audio input. It synthesizes realistic lip movements, head poses, and facial expressions synchronized to a spoken audio track, using either a single still image or a small set of reference video frames as the visual source. The system can produce videos of arbitrary length while maintaining temporal coherence, and it supports animating multiple subjects in a single scene. A key differentiator is the ability to coordinate multiple talking subjects through a structured JSON description, giving each independent lip

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    LatentSync is an audio-driven video generator and latent diffusion lip sync model designed to synchronize a speaker's lip movements in a video to a target audio track. It provides a lip synchronization training framework for developing synchronization networks on custom video and audio datasets. The system utilizes a video preprocessing pipeline to clean, segment, and align face data. It includes a visual sync evaluation tool that calculates confidence scores to measure the accuracy of audio and visual alignment in generated videos. The project covers capabilities for custom synchronization

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  • badtobest/echomimicBadToBest avatar

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    EchoMimic is an audio-driven portrait animation framework and latent diffusion video generator. It transforms static reference images into dynamic talking head videos by synchronizing facial movements with audio tracks and motion drivers. The system functions as a hybrid motion synthesis engine that combines audio inputs and pose data. It utilizes a facial landmark motion controller to edit positioning markers, enabling precise synchronization and video-to-video pose transfer. The pipeline covers image-to-video animation through latent diffusion and facial landmark conditioning. This allows

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See all 30 alternatives to Talking Head Generation With Rhythmic Head Motion→

Frequently asked questions

What does lelechen63/talking-head-generation-with-rhythmic-head-motion do?

Pytorch implementation for audio driven talking-head video synthesize. Given an inputed sampled video frames and a driving audio, our model makes use of 3D facial generation process to generate a head speaking the audio. Moreover, our model achieves controllable head motion as well as facial…

What are the main features of lelechen63/talking-head-generation-with-rhythmic-head-motion?

The main features of lelechen63/talking-head-generation-with-rhythmic-head-motion are: Audio Driven Synthesis.

What are some open-source alternatives to lelechen63/talking-head-generation-with-rhythmic-head-motion?

Open-source alternatives to lelechen63/talking-head-generation-with-rhythmic-head-motion include: meigen-ai/infinitetalk — InfiniteTalk is an open-source system for generating talking head videos driven by audio input. It synthesizes… bytedance/latentsync — LatentSync is an audio-driven video generator and latent diffusion lip sync model designed to synchronize a speaker's… deepbrainai-research/discohead — Project Page | KoEBA Dataset. farzanehjafari1987/sedtalker — Farzaneh Jafari, Stefano Berretti, Anup Basu. fudan-generative-vision/hallo — Hallo is an audio-driven talking head generator and portrait animation framework. It synchronizes a static portrait… badtobest/echomimic — EchoMimic is an audio-driven portrait animation framework and latent diffusion video generator. It transforms static…