Search Results for author:
Found 15 papers, 3 papers with code
Animatable Neural Radiance Fields from Monocular RGB-D
To tackle this problem, we introduce a novel method to integrate observations across frames and encode the appearance at each individual frame by utilizing the human pose that models the body shape and point clouds which cover partial part of the human as the input.
SPAMs: Structured Implicit Parametric Models
We observe that deformable object motion is often semantically structured, and thus propose to learn Structured-implicit PArametric Models (SPAMs) as a deformable object representation that structurally decomposes non-rigid object motion into part-based disentangled representations of shape and pose, with each being represented by deep implicit functions.
Human View Synthesis using a Single Sparse RGB-D Input
We show our method generates high-quality novel views of synthetic and real human actors given a single sparse RGB-D input.
Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing
Neural-GIF can be trained on raw 3D scans and reconstructs detailed complex surface geometry and deformations.
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited
We present ARCH++, an image-based method to reconstruct 3D avatars with arbitrary clothing styles.
3D Object Reconstruction From A Single Image
Image-to-Image Translation
Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views
We propose a data-driven end-to-end approach that reconstructs an implicit 3D representation of dressed humans from sparse camera views.
Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans
Given a segmentation mask defining the layout of the semantic regions in the texture map, our network generates high-resolution textures with a variety of styles, that are then used for rendering purposes.
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video
We present TexMesh, a novel approach to reconstruct detailed human meshes with high-resolution full-body texture from RGB-D video.
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
SizerNet allows to estimate and visualize the dressing effect of a garment in various sizes, and ParserNet allows to edit clothing of an input mesh directly, removing the need for scan segmentation, which is a challenging problem in itself.
ARCH: Animatable Reconstruction of Clothed Humans
In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image.
Ranked #2 on
3D Object Reconstruction From A Single Image
on BUFF
3D Object Reconstruction From A Single Image
3D Reconstruction
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
We present DenseRaC, a novel end-to-end framework for jointly estimating 3D human pose and body shape from a monocular RGB image.
Ranked #36 on
3D Human Pose Estimation
on Human3.6M
(using extra training data)
DeepWrinkles: Accurate and Realistic Clothing Modeling
We present a novel method to generate accurate and realistic clothing deformation from real data capture.
Pano2CAD: Room Layout From A Single Panorama Image
This paper presents a method of estimating the geometry of a room and the 3D pose of objects from a single 360-degree panorama image.
Timing-Based Local Descriptor for Dynamic Surfaces
In this paper, we present the first local descriptor designed for dynamic surfaces.
Intrinsic Characterization of Dynamic Surfaces
This paper presents a novel approach to characterize deformable surface using intrinsic property dynamics.
