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wtf is animateanyone?

humanaigc/animateanyone — explained in plain English

Analysis updated 2026-06-24

★ 14,772Audience · researcherComplexity · 2/5Setup · hard

TL;DR

Research paper landing page for AnimateAnyone, an Alibaba image-to-video model that animates a still character image in a consistent, controllable way.

Mindmap

mindmap
  root((AnimateAnyone))
    Inputs
      Single character image
      Pose or motion signal
    Outputs
      Animated video
      Consistent character frames
    Use Cases
      Read the paper
      Cite the work
      Track follow-up Wan-Animate
    Tech Stack
      Research code
      Diffusion models

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Why would anyone build with this?

REASON 1

Read the paper for character image-to-video synthesis techniques

REASON 2

Cite AnimateAnyone in academic work

REASON 3

Follow links to the Wan-Animate follow-up project for runnable code

What's in the stack?

DiffusionPyTorchResearch

How it stacks up

humanaigc/animateanyoneborisdayma/dalle-minispacehuhntech/esp8266_deauther
Stars14,77214,77114,769
Language—PythonC
Setup difficultyhardhardmoderate
Complexity2/54/53/5
Audienceresearcherresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · hard Time to first run · 1day+

Repo is a paper landing page only, no model weights, training code, or inference scripts are released here.

Wtf does this do

AnimateAnyone is a research project from Alibaba's HumanAIGC group that accompanies a paper titled Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation. The repository's README is essentially a landing page for that paper. The subject is image-to-video synthesis: starting from a single still image of a character and generating a video that animates them in a consistent and controllable way. The README itself does not contain code, installation instructions, or usage examples. It lists the authors of the paper, Li Hu, Xin Gao, Peng Zhang, Ke Sun, Bang Zhang, and Liefeng Bo, with links to their academic profiles. There are three badges at the top: a link to the project page on humanaigc.github.io, a link to the paper PDF on arXiv with the identifier 2311.17117, and a link to a YouTube video. There is one announcement in the README. It points readers at a follow-up open-source project from the same group called Wan-Animate, which is described as part of the Animate Anyone series. The rest of the page is a teaser image and a BibTeX citation block for academic use. Anyone looking for the actual model weights, training code, or inference scripts will not find them in this README.

Yoink these prompts

Prompt 1
Summarize the AnimateAnyone paper's core method in plain English
Prompt 2
Compare AnimateAnyone to other image-to-video character animation papers
Prompt 3
Find the closest open-source follow-up project to AnimateAnyone that ships weights
Prompt 4
Extract the BibTeX entry for AnimateAnyone for my paper

Frequently asked questions

wtf is animateanyone?

Research paper landing page for AnimateAnyone, an Alibaba image-to-video model that animates a still character image in a consistent, controllable way.

How hard is animateanyone to set up?

Setup difficulty is rated hard, with roughly 1day+ to a first successful run.

Who is animateanyone for?

Mainly researcher.

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