GitHub YuDeng Portrait 4D Portrait4D Le github com YuDeng Portrait 4D See all results for this question

People also ask How to learn one shot 4D head synthesis Existing one shot 4D head synthesis methods usually learn from monocular videos with the aid of 3DMM reconstruction yet the latter is evenly challenging which restricts them from reasonable 4D head synthesis We present a method to learn one shot 4D head synthesis via large scale synthetic data

GitHub YuDeng Portrait 4D Portrait4D Le github com YuDeng Portrait 4D See all results for this question How does a 4D head synthesis model work Our 4D head synthesis model adopts a transformer based encoder decoder architecture which directly reconstructs a triplane based head NeRF from a source image and ani mates it via deep motion features from a driving image

Github YuDeng Portrait 4D Portrait4D Learning One Shot 4D Head Avatar GitHub Portrait4D v2 Pseudo Multi View Data Creates Better 4D Head Synthesizer In this paper we propose a novel learning approach for feed forward one shot 4D head avatar

Github YuDeng Portrait4D v2 Portrait4D v2 index html at main YuDeng Portrait4D v2 GitHub Portrait4D v2 takes a source image left as input and synthesizes its lifelike 4D head avatar middle given another driving video right for reenactment

GitHub YuDeng Portrait 4D Portrait4D Le github com YuDeng Portrait 4D See all results for this question How do you learn 4D head synthesis Portrait4D Learning One Shot 4D Head Avatar Synthesis using Synthetic Data Existing one shot 4D head synthesis methods usually learn from monocular videos with the aid of 3DMM reconstruction yet the latter is evenly challenging which restricts them from reasonable 4D head synthesis

Portrait4D Learning One Shot 4D Head Avat openaccess thecvf com content CVPR2024 papers Deng Portrait4D Learning One Shot 4D Head Avatar Synthesis using Synthetic Data CVPR 2024 paper pdf See all results for this question Can portrait4d learn a 4D Gan in advance A recent method Portrait4D 11 learns a 4D GAN in advance to synthesize large scale multi view data for training yet the learned 4D GAN still requires 3DMM for expression control which is less vivid than real data Figure 1 Our method utilizes a feed forward 4D head synthesizer to create photorealistic head avatars from a single source image

arXiv org html 2403 Portrait4D v2 Pseudo Multi View Data Creates Better 4D Head This paper suggests a more practical way for learning a one shot 4D head synthesizer using pseudo multi view videos The key intuition is to turn existing monocular

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arXiv org abs 2403 Portrait4D v2 Pseudo Multi View Data Creates Better 4D Head Mar 20 2024 In this paper we propose a novel learning approach for feed forward one shot 4D head avatar synthesis Different from existing methods that often learn from Cite as arXiv 2403 13570 cs CV

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CVF Open Access content CVPR2024 Portrait4D Learning One Shot 4D Head Avatar Synthesis using Our method generates a photorealistic 4D head avatar via a feed forward process of a monocular image It allows head reenact ment given another driving image with full

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Portrait4D v2 Pseudo Multi View Data Creat arxiv org html 2403 13570v1 See all results for this question What parameters are used for 4D data synthesis For 4D data synthesis we use 3DMM parameters extracted from FFHQ and VFHQ The camera poses are sampled from a pre defined distribution See the suppl for more details Evaluation of GenHead We leave the evaluation of Gen Head in the suppl material 4 1 One Shot 4D Head Synthesis Results

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yudeng github io Portrait4D Portrait4D Learning One Shot 4D Head Avatar Synthesis using Portrait4D turns a monocular image into a photorealistic 4D head avatar via a simple feed forward process

Portrait4D Learning One Shot 4D Head Avat openaccess thecvf com content CVPR2024 papers Deng Portrait4D Learning One Shot 4D Head Avatar Synthesis using Synthetic Data CVPR 2024 paper pdf See all results for this question Does portrait4d v1 require extra training data Note that Portrait4D v1 learns from synthetic data of GenHead which does not require extra training data By default experiment results will be saved in portrait4d training runs portrait4d By default experiment results will be saved in portrait4d training runs portrait4d v2

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