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Found 16 papers, 8 papers with code
Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering
Previous attempts to regularize 3D Gaussian normals often degrade rendering quality due to the fundamental disconnect between normal vectors and the rendering pipeline in 3DGS-based methods.
McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction
Iso-surface extraction from an implicit field is a fundamental process in various applications of computer vision and graphics.
Differentiable Convex Polyhedra Optimization from Multi-view Images
This paper presents a novel approach for the differentiable rendering of convex polyhedra, addressing the limitations of recent methods that rely on implicit field supervision.
ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces
Unlike traditional multi-view stereo approaches, the neural implicit surface-based methods leverage neural networks to represent 3D scenes as signed distance functions (SDFs).
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing
This paper studies the problem of learning the shape given in the form of point clouds by inverse sketch-and-extrude.
Object-Compositional Neural Implicit Surfaces
This paper proposes a novel framework, ObjectSDF, to build an object-compositional neural implicit representation with high fidelity in 3D reconstruction and object representation.
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing
Generating an interpretable and compact representation of 3D shapes from point clouds is an important and challenging problem.
Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture
The problem of deforming an artist-drawn caricature according to a given normal face expression is of interest in applications such as social media, animation and entertainment.
Facial Expression Retargeting from Human to Avatar Made Easy
Then we construct correspondences between the two latent spaces guided by geometric and perceptual constraints.
Recovering Facial Reflectance and Geometry from Multi-view Images
While the problem of estimating shapes and diffuse reflectances of human faces from images has been extensively studied, there is relatively less work done on recovering the specular albedo.
Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network
Human bodies exhibit various shapes for different identities or poses, but the body shape has certain similarities in structure and thus can be embedded in a low-dimensional space.
Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos
In this paper, we propose a new learning based method consisting of DepthNet, PoseNet and Region Deformer Networks (RDN) to estimate depth from unconstrained monocular videos without ground truth supervision.
Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset
Teleconference or telepresence based on virtual reality (VR) headmount display (HMD) device is a very interesting and promising application since HMD can provide immersive feelings for users.
Quadtree Convolutional Neural Networks
Specifically, the computational and memory costs in QCNN grow linearly in the number of non-zero pixels, as opposed to traditional CNNs where the costs are quadratic in the number of pixels.
Alive Caricature from 2D to 3D
Caricature is an art form that expresses subjects in abstract, simple and exaggerated view.
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images
With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images.
