ATLAS: Decoupling Skeletal and Shape Parameters for Expressive
  Parametric Human Modeling
Parametric body models offer expressive 3D representation of humans across a
wide range of poses, shapes, and facial expressions, typically derived by
learning a basis over registered 3D meshes. However, existing human mesh
modeling approaches struggle to capture detailed variations across diverse body
poses and shapes, largely due to limited training data diversity and
restrictive modeling assumptions. Moreover, the common paradigm first optimizes
the external body surface using a linear basis, then regresses internal
skeletal joints from surface vertices. This approach introduces problematic
dependencies between internal skeleton and outer soft tissue, limiting direct
control over body height and bone lengths. To address these issues, we present
ATLAS, a high-fidelity body model learned from 600k high-resolution scans
captured using 240 synchronized cameras. Unlike previous methods, we explicitly
decouple the shape and skeleton bases by grounding our mesh representation in
the human skeleton. This decoupling enables enhanced shape expressivity,
fine-grained customization of body attributes, and keypoint fitting independent
of external soft-tissue characteristics. ATLAS outperforms existing methods by
fitting unseen subjects in diverse poses more accurately, and quantitative
evaluations show that our non-linear pose correctives more effectively capture
complex poses compared to linear models.
68a7f0f139413c456c05b15f
Jinhyung Park
68a7f0f139413c456c05b160
Javier Romero
68a7f0f139413c456c05b161
Shunsuke Saito
68a7f0f139413c456c05b162
Fabian Prada
68a7f0f139413c456c05b163
Takaaki Shiratori
admin_assigned
2025-08-22T08:32:28.757Z
66e265b0f29939aa6677dd88
/avatars/fd9f0982ad60b7c33dc16d3df18341bb.svg
Takaaki Shiratori
user
TakaakiWB
68a7f0f139413c456c05b164
Yichen Xu
68a7f0f139413c456c05b165
Federica Bogo
68a7f0f139413c456c05b166
Shoou-I Yu
68a7f0f139413c456c05b167
Kris Kitani
68a7f0f139413c456c05b168
Rawal Khirodkar
admin_assigned
2025-08-22T08:31:10.903Z
6413702057d68cf865da8314
/avatars/332e72602a4c6ac0a997b295bb9b2f7d.svg
Rawal Khirodkar
user
rawalkhirodkar
ATLAS: Decoupling Skeletal and Shape Parameters for Expressive
  Parametric Human Modeling
Parametric body models offer expressive 3D representation of humans across a
wide range of poses, shapes, and facial expressions, typically derived by
learning a basis over registered 3D meshes. However, existing human mesh
modeling approaches struggle to capture detailed variations across diverse body
poses and shapes, largely due to limited training data diversity and
restrictive modeling assumptions. Moreover, the common paradigm first optimizes
the external body surface using a linear basis, then regresses internal
skeletal joints from surface vertices. This approach introduces problematic
dependencies between internal skeleton and outer soft tissue, limiting direct
control over body height and bone lengths. To address these issues, we present
ATLAS, a high-fidelity body model learned from 600k high-resolution scans
captured using 240 synchronized cameras. Unlike previous methods, we explicitly
decouple the shape and skeleton bases by grounding our mesh representation in
the human skeleton. This decoupling enables enhanced shape expressivity,
fine-grained customization of body attributes, and keypoint fitting independent
of external soft-tissue characteristics. ATLAS outperforms existing methods by
fitting unseen subjects in diverse poses more accurately, and quantitative
evaluations show that our non-linear pose correctives more effectively capture
complex poses compared to linear models.
ATLAS is a high-fidelity body model that decouples shape and skeleton bases, improving pose accuracy and shape expressivity using 600k high-resolution scans.
parametric body models 3D representation human mesh modeling basis registered 3D meshes training data diversity modeling assumptions external body surface linear basis internal skeletal joints surface vertices decoupling human skeleton shape expressivity body attributes keypoint fitting non-linear pose correctives complex poses