Search Results for author:
Found 20 papers, 10 papers with code
Oblique-MERF: Revisiting and Improving MERF for Oblique Photography
Neural implicit fields have established a new paradigm for scene representation, with subsequent work achieving high-quality real-time rendering.
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
We propose a voxel-based optimization framework, ReVoRF, for few-shot radiance fields that strategically address the unreliability in pseudo novel view synthesis.
Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method
In this paper, we introduce a novel hybrid differentiable rendering method to efficiently reconstruct the 3D geometry and reflectance of a scene from multi-view images captured by conventional hand-held cameras.
Point normal orientation and surface reconstruction by incorporating isovalue constraints to Poisson equation
In this work, we bridge orientation and reconstruction in the implicit space and propose a novel approach to orient point cloud normals by incorporating isovalue constraints to the Poisson equation.
Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization
In this paper, we propose a formulation for robust non-rigid registration based on a globally smooth robust norm for alignment and regularization, which can effectively handle outliers and partial overlaps.
High-resolution Face Swapping via Latent Semantics Disentanglement
Although previous research can leverage generative priors to produce high-resolution results, their quality can suffer from the entangled semantics of the latent space.
A Survey of Non-Rigid 3D Registration
Non-rigid registration computes an alignment between a source surface with a target surface in a non-rigid manner.
Sketch2PQ: Freeform Planar Quadrilateral Mesh Design via a Single Sketch
In this work, we present a novel sketch-based system to bridge the concept design and digital modeling of freeform roof-like shapes represented as planar quadrilateral (PQ) meshes.
Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations
This paper presents a Generative prior ReciprocAted Invertible rescaling Network (GRAIN) for generating faithful high-resolution (HR) images from low-resolution (LR) invertible images with an extreme upscaling factor (64x).
A Robust Loss for Point Cloud Registration
The performance of surface registration relies heavily on the metric used for the alignment error between the source and target shapes.
Regularization of Persistent Homology Gradient Computation
Persistent homology is a method for computing the topological features present in a given data.
Fast and Robust Iterative Closest Point
On challenging datasets with noises and partial overlaps, we achieve similar or better accuracy than Sparse ICP while being at least an order of magnitude faster.
Quasi-Newton Solver for Robust Non-Rigid Registration
Imperfect data (noise, outliers and partial overlap) and high degrees of freedom make non-rigid registration a classical challenging problem in computer vision.
Lightweight Photometric Stereo for Facial Details Recovery
Recently, 3D face reconstruction from a single image has achieved great success with the help of deep learning and shape prior knowledge, but they often fail to produce accurate geometry details.
Parallel and Scalable Heat Methods for Geodesic Distance Computation
In this paper, we propose a parallel and scalable approach for geodesic distance computation on triangle meshes.
Graphics
Robust RGB-D Face Recognition Using Attribute-Aware Loss
Existing convolutional neural network (CNN) based face recognition algorithms typically learn a discriminative feature mapping, using a loss function that enforces separation of features from different classes and/or aggregation of features within the same class.
Fast K-Means Clustering with Anderson Acceleration
We propose a novel method to accelerate Lloyd's algorithm for K-Means clustering.
Static/Dynamic Filtering for Mesh Geometry
Extensive experimental results demonstrate the effectiveness of the proposed filter for various geometry processing applications such as mesh denoising, geometry feature enhancement, and texture color filtering.
Graphics
Deep Face Feature for Face Alignment
The deep face feature (DFF) is trained using correspondence between face images rendered from different views.
3D Face Reconstruction with Geometry Details from a Single Image
3D face reconstruction from a single image is a classical and challenging problem, with wide applications in many areas.
