Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Tzionas, Dimitrios"'
We focus on recovering 3D object pose and shape from single images. This is highly challenging due to strong (self-)occlusions, depth ambiguities, the enormous shape variance, and lack of 3D ground truth for natural images. Recent work relies mostly
Externí odkaz:
http://arxiv.org/abs/2409.16178
Synthesizing 3D whole-bodies that realistically grasp objects is useful for animation, mixed reality, and robotics. This is challenging, because the hands and body need to look natural w.r.t. each other, the grasped object, as well as the local scene
Externí odkaz:
http://arxiv.org/abs/2408.16770
Generating personalized 3D avatars is crucial for AR/VR. However, recent text-to-3D methods that generate avatars for celebrities or fictional characters, struggle with everyday people. Methods for faithful reconstruction typically require full-body
Externí odkaz:
http://arxiv.org/abs/2405.14869
Autor:
Tripathi, Shashank, Chatterjee, Agniv, Passy, Jean-Claude, Yi, Hongwei, Tzionas, Dimitrios, Black, Michael J.
Understanding how humans use physical contact to interact with the world is key to enabling human-centric artificial intelligence. While inferring 3D contact is crucial for modeling realistic and physically-plausible human-object interactions, existi
Externí odkaz:
http://arxiv.org/abs/2309.15273
The regression of 3D Human Pose and Shape (HPS) from an image is becoming increasingly accurate. This makes the results useful for downstream tasks like human action recognition or 3D graphics. Yet, no regressor is perfect, and accuracy can be affect
Externí odkaz:
http://arxiv.org/abs/2308.12965
Autor:
Taheri, Omid, Zhou, Yi, Tzionas, Dimitrios, Zhou, Yang, Ceylan, Duygu, Pirk, Soren, Black, Michael J.
Hands are dexterous and highly versatile manipulators that are central to how humans interact with objects and their environment. Consequently, modeling realistic hand-object interactions, including the subtle motion of individual fingers, is critica
Externí odkaz:
http://arxiv.org/abs/2308.11617
Autor:
Forte, Maria-Paola, Kulits, Peter, Huang, Chun-Hao, Choutas, Vasileios, Tzionas, Dimitrios, Kuchenbecker, Katherine J., Black, Michael J.
Sign language (SL) is the primary method of communication for the 70 million Deaf people around the world. Video dictionaries of isolated signs are a core SL learning tool. Replacing these with 3D avatars can aid learning and enable AR/VR application
Externí odkaz:
http://arxiv.org/abs/2304.10482
Autor:
Tripathi, Shashank, Müller, Lea, Huang, Chun-Hao P., Taheri, Omid, Black, Michael J., Tzionas, Dimitrios
Estimating 3D humans from images often produces implausible bodies that lean, float, or penetrate the floor. Such methods ignore the fact that bodies are typically supported by the scene. A physics engine can be used to enforce physical plausibility,
Externí odkaz:
http://arxiv.org/abs/2303.18246
Humans constantly contact objects to move and perform tasks. Thus, detecting human-object contact is important for building human-centered artificial intelligence. However, there exists no robust method to detect contact between the body and the scen
Externí odkaz:
http://arxiv.org/abs/2303.03373
The combination of deep learning, artist-curated scans, and Implicit Functions (IF), is enabling the creation of detailed, clothed, 3D humans from images. However, existing methods are far from perfect. IF-based methods recover free-form geometry, bu
Externí odkaz:
http://arxiv.org/abs/2212.07422