π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Convert your videos to densepose and use it on MagicAnimate
This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !
To convert atlas texuture (defined in Densepose) to normal texture (defined in SMPL), and vice versa.
Pytorch implementation of the paper, Neural re-rendering of humans from a single image.
Wi-Fi Vision: Device-free human pose estimation and activity recognition using ESP32 CSI and machine learning.
ESP32 Wi‑Fi CSI radar for human presence & movement detection. Privacy‑first — no cameras, no sensors, just Wi-Fi signal jitter. Real‑time WEB UI dashboard with live RSSI/jitter charts, auto‑calibration, GPIO/LED outputs.
Person of Interest. A flexible computer vision library on human analysis, such as person re-identification, human attribute, pose estimation and dense pose estimation.
TryItOut is a versatile project that brings a variety of innovative features to the forefront, aimed at enhancing the online shopping experience. With a range of capabilities, the project empowers users to explore, visualize, and tailor their digital shopping journeys
Implementation of detectron2 denspose estimation with acknowledgement of body parts gazed.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
preprocessing for VITON models
Hack The North 2018
Fork of DensePose from WiFi — modified for dummy data testing on Apple Silicon
Visualize DensePose CSE vertex maps, inspect SMPL/smpl_27554 vertex IDs, and export body region maps.
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.