Who is Video to DensePose for?

Video to DensePose is an open-source project built for computer vision researchers.

Is Video to DensePose free?

Yes — Video to DensePose is free to use.

What platforms does Video to DensePose run on?

Video to DensePose runs on the web. It can also be self-hosted.

Is Video to DensePose still maintained?

Unverified. Video to DensePose has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

Who develops Video to DensePose?

Video to DensePose is developed by fffiloni.

When did Video to DensePose launch?

Video to DensePose first shipped in 2023.

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Video to DensePose

Name: Video to DensePose
Author: fffiloni

huggingface.coVideo generation

Video to DensePose is a Hugging Face Space that applies the DensePose model to input videos. It maps human body surfaces in each frame, producing detailed visualizations of body part correspondences. The tool is useful for researchers and developers working on human pose estimation, action recognition, and related computer vision tasks. It runs entirely in the cloud via a simple web interface.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

2 features

Video to DensePose is a Video generation project. It focuses on extracting dense human pose estimations from video footage for computer vision research and applications. Video to DensePose is an open-source project aimed at computer vision researchers. It is available for free. It ships for the web, and it can be self-hosted.

fffiloni builds and maintains Video to DensePose, and it first shipped in 2023.

Summary written by a language model from the project’s public pages.

Video Processing
DensePose Visualization

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed31 Jul · 02:35 UTC
fffiloni/video2densepose verified against its public source
Source: PulseGate · Open

Frequently asked questions about Video to DensePose

What is Video to DensePose?: Video to DensePose focuses on extracting dense human pose estimations from video footage for computer vision research and applications. It is catalogued under Video generation on PulseGate.
Who is Video to DensePose for?: Video to DensePose is an open-source project built for computer vision researchers.
Is Video to DensePose free?: Yes — Video to DensePose is free to use.
What platforms does Video to DensePose run on?: Video to DensePose runs on the web. It can also be self-hosted.
Is Video to DensePose still maintained?: Unverified. Video to DensePose has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who develops Video to DensePose?: Video to DensePose is developed by fffiloni.
When did Video to DensePose launch?: Video to DensePose first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: computer vision researchers
Model: Open source
Solves: Extracting dense human pose estimations from video footage for computer vision research and applications.

Registered as

Hugging Face Spaces: fffiloni/video2densepose

Developer

fffiloni

Live coverage

Identity confidence: Medium · 83.6
Indexed: 31 Jul 2026
Lifecycle: Alive
Last seen: 31 Jul 2026

Identity audit (13)

Slug: fffiloni-video2densepose-huggingface-co
Lifecycle state recorded: 31 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 31 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 31 Jul 2026
Canonical URL: https://huggingface.co/spaces/fffiloni/video2densepose

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