Search Results for "latency"

...It leverages deep generative models that condition on a static reference image and a driving input (such as motion or expression cues) to produce a seamless animated portrait sequence that can run indefinitely without segmentation artifacts. The framework prioritizes low-latency and streamable output, making it suitable for real-time creative workflows, broadcast overlays, or interactive avatars on consumer-grade GPUs. PersonaLive’s architecture balances visual quality and efficiency by combining motion encoding, temporal modules, and hybrid implicit control signals to preserve identity and stable expression through long sequences.

SteadyDancer is a research-oriented motion stabilization and dancer tracking system designed to analyze and correct motion in videos, making captured performances appear smoother and more stable while preserving expressiveness. It employs computer vision and motion modeling to estimate and reduce unwanted jitters, shakes, or camera wobbles — particularly in dance or movement sequences where traditional smoothing would distort intentional motion. By differentiating between intentional...

...Users can select devices through a simple GUI, toggle Fullscreen display, and quickly check functionality without heavy software overhead. Built with Python, OpenCV, PyAudio, and Tkinter, MiniMonitor is perfect for streamers, content creators, and anyone needing low-latency monitoring of capture cards and audio sources.

Qvid is a demo video streaming application for Windows (MacOs support limited and currently broken), written in Python. It allows you to capture screenshots of your desktop, webcam, and selected windows programs. The captured images are compressed and sent as a continuous stream over a TCP connection to a single machine. Developed alongside https://sourceforge.net/projects/netjoy/ to allow for off-site, single and multiplayer, game play over an internet connection.

...Besides, 3DDFA_V2 incorporates the fast face detector FaceBoxes instead of Dlib. A simple 3D render written by c++ and cython is also included. This repo supports the onnxruntime, and the latency of regressing 3DMM parameters using the default backbone is about 1.35ms/image on CPU with a single image as input. See requirements.txt, tested on macOS and Linux platforms. The Windows users may refer to FQA for building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc.