virtual-humans

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

[CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration

ICASSP 2022: "Text2Video: text-driven talking-head video synthesis with phonetic dictionary".

Python implementation accompanying the Transformer Inertial Poser paper at SIGGRAPH Asia 2022

AI based all-in-one character generator Blender plug-in. This project contains unofficial updates for the CEB_ECON Blender add-on.

Towards Robust 3D Body Mesh Inference of Partially-observed Humans: semester project at ETH Zurich

Emotionally responsive Virtual Metahuman CV with Real-Time User Facial Emotion Detection (Unreal Engine 5).

[CVPR 2025 Highlight] Real-time Free-view Human Rendering from Sparse-view RGB Videos using Double Unprojected Textures

[ECCV 2024] MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering

Official PyTorch Implementation of "Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models", ICCV 2023 CV4Metaverse Workshop

Official repository of "Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning", ICCV 2021

[WACV 2026] Official code repo of paper ArchitectHead: Continuous Level of Detail Control for 3D Gaussian Head Avatars.

PyTorch implementation of the human neural rendering in unseen positions presented at WACV 2022 "Creating and Reenacting Controllable 3D Humans with Differentiable Rendering"

The Virtual Human Toolkit enables researchers and developers to rapidly create embodied conversational agents using speech recognition, audio-visual sensing, natural language processing, text-to-speech synthesis, and nonverbal behavior generation.

The AVATAR project demonstrates virtual characters that play the role of a police officer or a witness in a police interview.

Prototype of a narrative-memory virtual human: identity emerges from stories, not sliders. Durable anchors (event facts) plus adaptive retellings (“flux”) create a coherent, context-sensitive personality.

Simple class to work with meshes

3D body capture with enriched automatic modelling. (WORK IN PROGRESS)

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