Deformed implicit field: Modeling 3d shapes with learned dense correspondence
We propose a novel Deformed Implicit Field (DIF) representation for modeling 3D shapes of
a category and generating dense correspondences among shapes. With DIF, a 3D shape is …
a category and generating dense correspondences among shapes. With DIF, a 3D shape is …
Featurenerf: Learning generalizable nerfs by distilling foundation models
Recent works on generalizable NeRFs have shown promising results on novel view
synthesis from single or few images. However, such models have rarely been applied on …
synthesis from single or few images. However, such models have rarely been applied on …
i3dmm: Deep implicit 3d morphable model of human heads
We present the first deep implicit 3D morphable model (i3DMM) of full heads. Unlike earlier
morphable face models it not only captures identity-specific geometry, texture, and …
morphable face models it not only captures identity-specific geometry, texture, and …
Imface: A nonlinear 3d morphable face model with implicit neural representations
Precise representations of 3D faces are beneficial to various computer vision and graphics
applications. Due to the data discretization and model linearity however, it remains …
applications. Due to the data discretization and model linearity however, it remains …
Deep implicit templates for 3d shape representation
Deep implicit functions (DIFs), as a kind of 3D shape representation, are becoming more
and more popular in the 3D vision community due to their compactness and strong …
and more popular in the 3D vision community due to their compactness and strong …
Trustworthy representation learning across domains
As AI systems have obtained significant performance to be deployed widely in our daily live
and human society, people both enjoy the benefits brought by these technologies and suffer …
and human society, people both enjoy the benefits brought by these technologies and suffer …
[图书][B] Handbook of face recognition
Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …
are several reasons for the growing interest in automated face recognition, including rising …
A Survey of Trustworthy Representation Learning Across Domains
As AI systems have obtained significant performance to be deployed widely in our daily live
and human society, people both enjoy the benefits brought by these technologies and suffer …
and human society, people both enjoy the benefits brought by these technologies and suffer …
Instant multi-view head capture through learnable registration
Existing methods for capturing datasets of 3D heads in dense semantic correspondence are
slow and commonly address the problem in two separate steps; multi-view stereo (MVS) …
slow and commonly address the problem in two separate steps; multi-view stereo (MVS) …
Efem: Equivariant neural field expectation maximization for 3d object segmentation without scene supervision
Abstract We introduce Equivariant Neural Field Expectation Maximization (EFEM), a simple,
effective, and robust geometric algorithm that can segment objects in 3D scenes without …
effective, and robust geometric algorithm that can segment objects in 3D scenes without …