Dimitris Tzionas
Dimitris Tzionas
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PuzzleAvatar: Assembling 3D Avatars from Personal Albums
Generating personalized 3D avatars is crucial for AR/VR. However, recent text-to-3D methods that generate avatars for celebrities or …
Yuliang Xiu
,
Yufei Ye
,
Zhen Liu
,
Dimitrios Tzionas
,
Michael J. Black
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Video
InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction from Multi-view RGB-D Images
Humans constantly interact with objects to accomplish tasks. To understand such interactions, computers need to reconstruct these in 3D …
Yinghao Huang
,
Omid Taheri
,
Michael J. Black
,
Dimitrios Tzionas
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Video
POCO: 3D Pose and Shape Estimation using Confidence
The regression of 3D Human Pose and Shape HPS from an image is becoming increasingly accurate. This makes the results useful for …
Sai Kumar Dwivedi
,
Cordelia Schmid
,
Hongwei Yi
,
Michael J. Black
,
Dimitrios Tzionas
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GRIP: Generating Interaction Poses Using Latent Consistency and Spatial Cues
Hands are dexterous and highly versatile manipulators that are central to how humans interact with objects and their environment. …
Omid Taheri
,
Yi Zhou
,
Dimitrios Tzionas
,
Yang Zhou
,
Duygu Ceylan
,
Soren Pirk
,
Michael J. Black
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DECO: Dense Estimation of 3D Human-Scene COntact in the Wild
Understanding how humans use physical contact to interact with the world is key to enabling human-centric artificial intelligence. …
Shashank Tripathi
,
Agniv Chatterjee
,
Jean-Claude Passy
,
Hongwei Yi
,
Dimitrios Tzionas
,
Michael J. Black
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Poster
Video
Reconstructing Signing Avatars From Video Using Linguistic Priors
Sign language (SL) is the primary method of communication for the 70 million Deaf people around the world. Video dictionaries of …
Maria-Paola Forte
,
Peter Kulits
,
Chun-Hao Paul Huang
,
Vasileios Choutas
,
Dimitrios Tzionas
,
Katherine J. Kuchenbecker
,
Michael J. Black
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Video
ECON: Explicit Clothed humans Optimized via Normal integration
The combination of artist-curated scans, and deep implicit functions (IF), is enabling the creation of detailed, clothed, 3D humans …
Yuliang Xiu
,
Jinlong Yang
,
Xu Cao
,
Dimitrios Tzionas
,
Michael J. Black
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Video
Detecting Human-Object Contact in Images
Humans constantly contact objects to move and perform tasks. Thus, detecting human-object contact is important for building …
Yixin Chen
,
Sai Kumar Dwivedi
,
Michael J. Black
,
Dimitrios Tzionas
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ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
Humans intuitively understand that inanimate objects do not move by themselves, but that state changes are typically caused by human …
Zicong Fan
,
Omid Taheri
,
Dimitrios Tzionas
,
Muhammed Kocabas
,
Manuel Kaufmann
,
Michael J. Black
,
Otmar Hilliges
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Video
3D Human Pose Estimation via Intuitive Physics
Estimating 3D humans from images often produces implausible bodies that lean, float, or penetrate the floor. Such methods ignore the …
Shashank Tripathi
,
Lea Müller
,
Chun-Hao P. Huang
,
Omid Taheri
,
Michael Black
,
Dimitrios Tzionas
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Video
SUPR: A Sparse Unified Part-Based Human Representation
Statistical 3D shape models of the head, hands, and fullbody are widely used in computer vision and graphics. Despite their wide use, …
Ahmed A. A. Osman
,
Timo Bolkart
,
Dimitrios Tzionas
,
Michael J. Black
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Code
Dataset
Project
Poster
InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction
Humans constantly interact with daily objects to accomplish tasks. To understand such interactions, computers need to reconstruct these …
Yinghao Huang
,
Omid Taheri
,
Michael J. Black
,
Dimitrios Tzionas
PDF
Cite
Code
Dataset
Project
Video
ICON: Implicit Clothed humans Obtained from Normals
Current methods for learning realistic and animatable 3D clothed avatars need either posed 3D scans or 2D images with carefully …
Yuliang Xiu
,
Jinlong Yang
,
Dimitrios Tzionas
,
Michael J. Black
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Poster
Slides
Video
Human-Aware Object Placement for Visual Environment Reconstruction
Humans are in constant contact with the world as they move through it and interact with it. This contact is a vital source of …
Hongwei Yi
,
Chun-Hao P. Huang
,
Dimitrios Tzionas
,
Muhammed Kocabas
,
Mohamed Hassan
,
Siyu Tang
,
Justus Thies
,
Michael J. Black
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Poster
Video
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping
Generating digital humans that move realistically has many applications and is widely studied, but existing methods focus on the major …
Omid Taheri
,
Vasileios Choutas
,
Michael J. Black
,
Dimitrios Tzionas
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Poster
Video
Accurate 3D Body Shape Regression using Metric and Semantic Attributes
While methods that regress 3D human meshes from images have progressed rapidly, the estimated body shapes often do not capture the true …
Vasileios Choutas
,
Lea Müller
,
Chun-Hao P. Huang
,
Siyu Tang
,
Dimitrios Tzionas
,
Michael J. Black
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Poster
Video
Populating 3D Scenes by Learning Human-Scene Interaction
Humans live within a 3D space and constantly interact with it to perform tasks. Such interactions involve physical contact between …
Mohamed Hassan
,
Partha Ghosh
,
Joachim Tesch
,
Dimitrios Tzionas
,
Michael J. Black
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Poster
Video
Collaborative Regression of Expressive Bodies using Moderation
Recovering expressive humans from images is essential for understanding human behavior. Methods that estimate 3D bodies, faces, or …
Yao Feng
,
Vasileios Choutas
,
Timo Bolkart
,
Dimitrios Tzionas
,
Michael J. Black
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Video
Monocular Expressive Body Regression through Body-Driven Attention
To understand how people look, interact, or perform tasks,we need to quickly and accurately capture their 3D body, face, and hands …
Vasileios Choutas
,
Georgios Pavlakos
,
Timo Bolkart
,
Dimitrios Tzionas
,
Michael J. Black
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Project
Video
GRAB: A Dataset of Whole-Body Human Grasping of Objects
Training computers to understand, model, and synthesize human grasping requires a rich dataset containing complex 3D object shapes, …
Omid Taheri
,
Nima Ghorbani
,
Michael J. Black
,
Dimitrios Tzionas
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Code
Project
Video
Learning Multi-Human Optical Flow
The optical flow of humans is well known to be useful for the analysis of human action. Recent optical flow methods focus on training …
Anurag Ranjan
,
David T. Hoffmann
,
Dimitrios Tzionas
,
Siyu Tang
,
Javier Romero
,
Michael J. Black
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Project
Poster
Video
Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
To understand and analyze human behavior, we need to capture humans moving in, and interacting with, the world. Most existing methods …
Mohamed Hassan
,
Vasileios Choutas
,
Dimitrios Tzionas
,
Michael J. Black
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Code
Dataset
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Poster
Learning to Train with Synthetic Humans
Neural networks need big annotated datasets for training. However, manual annotation can be too expensive or even unfeasible for …
David T. Hoffmann
,
Dimitrios Tzionas
,
Michael J. Black
,
Siyu Tang
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Project
Poster
Learning Joint Reconstruction of Hands and Manipulated Objects
Estimating hand-object manipulations is essential for interpreting and imitating human actions. Previous work has made significant …
Yana Hasson
,
Gül Varol
,
Dimitrios Tzionas
,
Igor Kalevatykh
,
Michael J. Black
,
Ivan Laptev
,
Cordelia Schmid
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Poster
Video
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial …
Georgios Pavlakos
,
Vasileios Choutas
,
Nima Ghorbani
,
Timo Bolkart
,
Ahmed A. A. Osman
,
Dimitrios Tzionas
,
Michael J. Black
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Poster
Video
Embodied Hands: Modeling and Capturing Hands and Bodies Together
Humans move their hands and bodies together to communicate and solve tasks. Capturing and replicating such coordinated activity is …
Javier Romero
,
Dimitrios Tzionas
,
Michael J. Black
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Video
Capturing Hand-Object Interaction and Reconstruction of Manipulated Objects
Hand motion capture with an RGB-D sensor gained recently a lot of research attention, however, even most recent approaches focus on the case of a single isolated hand. We focus instead on hands that interact with other hands or with a rigid or articulated object.
Dimitrios Tzionas
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Reconstructing Articulated Rigged Models from RGB-D Videos
Although commercial and open-source software exist to reconstruct a static object from a sequence recorded with an RGB-D sensor, there …
Dimitrios Tzionas
,
Juergen Gall
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Project
Video
Capturing Hands in Action using Discriminative Salient Points and Physics Simulation
Hand motion capture is a popular research field, recently gaining more attention due to the ubiquity of RGB-D sensors. However, even …
Dimitrios Tzionas
,
Luca Ballan
,
Abhilash Srikantha
,
Pablo Aponte
,
Marc Pollefeys
,
Juergen Gall
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Dataset
Project
Video
Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
Recent advances have enabled 3d object reconstruction approaches using a single off-the-shelf RGB-D camera. Although these approaches …
Dimitrios Tzionas
,
Juergen Gall
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Dataset
Project
Poster
Video
Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points
Hand motion capture has been an active research topic in recent years, following the success of full-body pose tracking. Despite …
Dimitrios Tzionas
,
Abhilash Srikantha
,
Pablo Aponte
,
Juergen Gall
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Dataset
Project
Video
Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points
Benchmarking methods for 3d hand tracking is still an open problem due to the difficulty of acquiring ground truth data. We introduce a …
Dimitrios Tzionas
,
Juergen Gall
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Dataset
Project
Phantom Limb Pain Management Using Facial Expression Analysis, Biofeedback and Augmented Reality Interfacing
Post-amputation sensation often translates to the feeling of severe pain in the missing limb, referred to as phantom limb pain (PLP). A clear and rational treatment regimen is difficult to establish, as long as the underlying pathophysiology is not fully known.
Dimitrios Tzionas
,
Konstantinos Vrenas
,
Stefanos Eleftheriadis
,
Stamatios Georgoulis
,
Panagiotis C. Petrantonakis
,
Leontios J. Hadjileontiadis
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Epione: An Innovative Pain Management System Using Facial Expression Analysis, Biofeedback and Augmented Reality-Based Distraction
An innovative pain management system, namely Epione, is presented here. Epione deals with three main types of pain, i.e., acute pain, chronic pain, and phantom limb pain. In particular, by using facial expression analysis, Epione forms a dynamic pain meter, which then triggers biofeedback and augmented reality-based destruction scenarios, in an effort to maximize patient’s pain relief.
Stamatios Georgoulis
,
Stefanos Eleftheriadis
,
Dimitrios Tzionas
,
Konstantinos Vrenas
,
Panagiotis C. Petrantonakis
,
Leontios J. Hadjileontiadis
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