Diffuman4D

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Diffuman4D is an AI Agents & Automation tool that enables 4D consistent human view synthesis from sparse-view videos. It uses spatio-temporal diffusion models for high-fidelity free-viewpoint rendering of human performances.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Diffuman4D?

Diffuman4D is an open-source project that provides a framework for 4D consistent human view synthesis from sparse-view videos, utilizing spatio-temporal diffusion models. Developed by zju3dv, this tool allows for high-fidelity free-viewpoint rendering of human performances. It includes scripts for inference, data preprocessing, and reconstruction of 3DGS and 4DGS models. The project also offers a meticulously processed DNA-Rendering dataset with re-annotated labels, including foreground masks, 2D/3D skeletons, and camera parameters, to facilitate further research in human-centric 3D/4D generation. An interactive demo is available for users to experience immersive 4DGS rendering.

Best used for

Ideal for developers and data scientists who need to generate realistic 4D human performances, reconstruct 3D/4D Gaussian Splatting models, and preprocess multi-view video data. Especially valuable for researchers in computer vision and graphics working on human-centric 3D/4D generation.

Common actions

synthesize human views

render human performances

process video data

reconstruct 3D models

generate 4D content

github copilotface swapping"AI Agents"collaborationautomated workflowlow-code/no-codeopen-sourcedeepfakeworkflows

Capabilities

Key features

4D consistent human view synthesis
Spatio-temporal diffusion models
High-fidelity free-viewpoint rendering
3D/4D Gaussian Splatting reconstruction
Processed DNA-Rendering dataset
Custom data preprocessing scripts

Target Audience

developerdata scientistresearcher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of input data does Diffuman4D require for human view synthesis?

Diffuman4D requires sparse-view videos as input. The data should be organized with specific directory structures including RGB images, foreground masks, skeletons, and camera parameters. It also supports custom data processing if your data adheres to its specified format.

Can Diffuman4D be used for both 3D and 4D model reconstruction?

Yes, Diffuman4D provides scripts for both 3D and 4D model reconstruction. It supports training human 3DGS models using nerfstudio and aims to provide alternative 4D-Gaussian-Splatting reconstruction scripts, although LongVolcap is not yet open-sourced.

Is there a pre-processed dataset available for training with Diffuman4D?

Yes, Diffuman4D offers a meticulously processed DNA-Rendering dataset. This dataset includes re-annotated labels such as foreground masks, 2D/3D skeletons, and recalibrated camera parameters, making it suitable for model training and research in human-centric 3D/4D generation.

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