Our novel framework can (1) produce high-fidelity and natural results, and (2) support free adjustment of audio signals, viewing directions, and background ...
Mar 20, 2021 · Generating high-fidelity talking head video by fitting with the input audio sequence is a challenging problem that receives considerable attentions recently.
This repository contains a PyTorch implementation of AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis.
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We present AD-NeRF, an audio-driven neural ra- diance fields model that can handle the cross-modal map- ping problem without introducing extra intermediate rep-.
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What is NeRF neural network?
With the help of audio-driven NeRF, our method enables talking head video editings like pose- manipulation and background-replacement, which are valuable for ...
Experimental results demonstrate that the novel framework can produce high-fidelity and natural results, and support free adjustment of audio signals, ...
Our novel framework can (1) produce high-fidelity and natural results, and (2) support free adjustment of audio signals, viewing directions, and background ...
Duration: 3:57
Posted: Mar 19, 2021
Posted: Mar 19, 2021
AD-NeRF Audio Driven Neural Radiance Fields for Talking Head Synthesis - Free download as PDF File (.pdf), Text File (.txt) or read online for free.
AD-NeRF [9] attempts to leverage volume rendering on two elaborately designed NeRFs to synthesize portrait videos directly. Dif-ferent from those subject- ...