Search Results for author:
Found 7 papers, 2 papers with code
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
The estimation of 3D face shape from a single image must be robust to variations in lighting, head pose, expression, facial hair, makeup, and occlusions.
Generating 3D faces using Convolutional Mesh Autoencoders
To address this, we introduce a versatile model that learns a non-linear representation of a face using spectral convolutions on a mesh surface.
Ranked #4 on
Face Alignment
on FaceScape
Discriminative Pose-Free Descriptors for Face and Object Matching
The DPFD of images taken from different viewpoints can be directly compared for matching.
Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency
Synthesizing images of a person in novel poses from a single image is a highly ambiguous task.
SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
We present SCULPT, a novel 3D generative model for clothed and textured 3D meshes of humans.
Environment-Specific People
The method is analyzed quantitatively and qualitatively, and we show that ESP outperforms state-of-the-art on the task of contextual full-body generation.
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks
To capture these dependencies, our approach incorporates a hybrid explicit-implicit tri-plane representation inspired by 3D-aware generative frameworks developed for three-dimensional object representation and employs a singular latent code to model an entire video sequence.
