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Econ: Explicit clothed humans optimized via normal integration
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 …
enabling the creation of detailed, clothed, 3D humans from images. However, existing …
Tada! text to animatable digital avatars
We introduce TADA, a simple-yet-effective approach that takes textual descriptions and
produces expressive 3D avatars with high-quality geometry and lifelike textures, that can be …
produces expressive 3D avatars with high-quality geometry and lifelike textures, that can be …
Tech: Text-guided reconstruction of lifelike clothed humans
Despite recent research advancements in reconstructing clothed humans from a single
image, accurately restoring the “unseen regions” with high-level details remains an …
image, accurately restoring the “unseen regions” with high-level details remains an …
A dataset of relighted 3D interacting hands
The two-hand interaction is one of the most challenging signals to analyze due to the self-
similarity, complicated articulations, and occlusions of hands. Although several datasets …
similarity, complicated articulations, and occlusions of hands. Although several datasets …
Nrdf: Neural riemannian distance fields for learning articulated pose priors
Faithfully modeling the space of articulations is a crucial task that allows recovery and
generation of realistic poses and remains a notorious challenge. To this end we introduce …
generation of realistic poses and remains a notorious challenge. To this end we introduce …
Hand avatar: Free-pose hand animation and rendering from monocular video
We present HandAvatar, a novel representation for hand animation and rendering, which
can generate smoothly compositional geometry and self-occlusion-aware texture …
can generate smoothly compositional geometry and self-occlusion-aware texture …
Challenges and solutions for vision-based hand gesture interpretation: A review
Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
SemGrasp : Semantic Grasp Generation via Language Aligned Discretization
Generating natural human grasps necessitates consideration of not just object geometry but
also semantic information. Solely depending on object shape for grasp generation confines …
also semantic information. Solely depending on object shape for grasp generation confines …
Ohta: One-shot hand avatar via data-driven implicit priors
In this paper we delve into the creation of one-shot hand avatars attaining high-fidelity and
drivable hand representations swiftly from a single image. With the burgeoning domains of …
drivable hand representations swiftly from a single image. With the burgeoning domains of …
Unitedhuman: Harnessing multi-source data for high-resolution human generation
Human generation has achieved significant progress. Nonetheless, existing methods still
struggle to synthesize specific regions such as faces and hands. We argue that the main …
struggle to synthesize specific regions such as faces and hands. We argue that the main …