Material Anything: Generating Materials for Any 3D Object via Diffusion
We present Material Anything, a fully-automated, unified diffusion framework
designed to generate physically-based materials for 3D objects. Unlike existing
methods that rely on complex pipelines or case-specific optimizations, Material
Anything offers a robust, end-to-end solution adaptable to objects under
diverse lighting conditions. Our approach leverages a pre-trained image
diffusion model, enhanced with a triple-head architecture and rendering loss to
improve stability and material quality. Additionally, we introduce confidence
masks as a dynamic switcher within the diffusion model, enabling it to
effectively handle both textured and texture-less objects across varying
lighting conditions. By employing a progressive material generation strategy
guided by these confidence masks, along with a UV-space material refiner, our
method ensures consistent, UV-ready material outputs. Extensive experiments
demonstrate our approach outperforms existing methods across a wide range of
object categories and lighting conditions.
674455fdde9997dd26a9ed4b
Xin Huang
claimed_verified
2024-11-25T20:38:54.950Z
638d7d33c8912be69c1a5849
/avatars/475efc364e10f3594467bd45260d8999.svg
Xin Huang
user
xanderhuang
674455fdde9997dd26a9ed4c
Tengfei Wang
admin_assigned
2024-11-26T21:26:00.088Z
62e7c26236a8e8a827ff0891
/avatars/15648407233bf5757262dbc04464d02e.svg
Tengfei Wang
user
tfwang
674455fdde9997dd26a9ed4d
Ziwei Liu
admin_assigned
2024-11-26T21:25:43.153Z
62ab1ac1d48b4d8b048a3473
https://cdn-avatars.huggingface.co/v1/production/uploads/1656826685333-62ab1ac1d48b4d8b048a3473.png
Ziwei Liu
user
liuziwei7
674455fdde9997dd26a9ed4e
Qing Wang
Material Anything: Generating Materials for Any 3D Object via Diffusion
We present Material Anything, a fully-automated, unified diffusion framework
designed to generate physically-based materials for 3D objects. Unlike existing
methods that rely on complex pipelines or case-specific optimizations, Material
Anything offers a robust, end-to-end solution adaptable to objects under
diverse lighting conditions. Our approach leverages a pre-trained image
diffusion model, enhanced with a triple-head architecture and rendering loss to
improve stability and material quality. Additionally, we introduce confidence
masks as a dynamic switcher within the diffusion model, enabling it to
effectively handle both textured and texture-less objects across varying
lighting conditions. By employing a progressive material generation strategy
guided by these confidence masks, along with a UV-space material refiner, our
method ensures consistent, UV-ready material outputs. Extensive experiments
demonstrate our approach outperforms existing methods across a wide range of
object categories and lighting conditions.
Material Anything is a unified diffusion framework that generates physically-based materials for 3D objects using a pre-trained image diffusion model with enhancements for stability and quality.
diffusion framework physically-based materials pre-trained image diffusion model triple-head architecture rendering loss confidence masks progressive material generation UV-space material refiner