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Found 21 papers, 8 papers with code
Learning Neural Volumetric Pose Features for Camera Localization
We introduce a novel neural volumetric pose feature, termed PoseMap, designed to enhance camera localization by encapsulating the information between images and the associated camera poses.
FrameNeRF: A Simple and Efficient Framework for Few-shot Novel View Synthesis
We present a novel framework, called FrameNeRF, designed to apply off-the-shelf fast high-fidelity NeRF models with fast training speed and high rendering quality for few-shot novel view synthesis tasks.
Guided Diffusion for Fast Inverse Design of Density-based Mechanical Metamaterials
Mechanical metamaterial is a synthetic material that can possess extraordinary physical characteristics, such as abnormal elasticity, stiffness, and stability, by carefully designing its internal structure.
NeRF synthesis with shading guidance
We can also synthesize new scenes on curved surface with arbitrary lighting effects, which enhances the practicality of our proposed NeRF synthesis approach.
Multi-Sample Consensus Driven Unsupervised Normal Estimation for 3D Point Clouds
Comprehensive experiments demonstrate that the two proposed unsupervised methods are noticeably superior to some supervised deep normal estimators on the most common synthetic dataset.
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction
Generating high-quality, realistic rendering images for real-time applications generally requires tracing a few samples-per-pixel (spp) and using deep learning-based approaches to denoise the resulting low-spp images.
Robust 3D Shape Classification via Non-Local Graph Attention Network
Especially, in the case of sparse point clouds (64 points) with noise under arbitrary SO(3) rotation, the classification result (85. 4%) of NLGAT is improved by 39. 4% compared with the best development of other methods.
HeadNeRF: A Real-time NeRF-based Parametric Head Model
Different from existing related parametric models, we use the neural radiance fields as a novel 3D proxy instead of the traditional 3D textured mesh, which makes that HeadNeRF is able to generate high fidelity images.
StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision
In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clothed human from a pair of low-cost rectified images.
Generative Flows with Matrix Exponential
Generative flows models enjoy the properties of tractable exact likelihood and efficient sampling, which are composed of a sequence of invertible functions.
BCNet: Learning Body and Cloth Shape from A Single Image
In this paper, we consider the problem to automatically reconstruct garment and body shapes from a single near-front view RGB image.
Ranked #1 on
Garment Reconstruction
on 4D-DRESS
(using extra training data)
FPConv: Learning Local Flattening for Point Convolution
We introduce FPConv, a novel surface-style convolution operator designed for 3D point cloud analysis.
Learning-based Real-time Detection of Intrinsic Reflectional Symmetry
In this paper, we propose \YL{a} learning-based approach to intrinsic reflectional symmetry detection.
Voting for Distortion Points in Geometric Processing
Finally, we count the candidate points and generate the final distortion points by voting.
Graphics
Multi-Normal Estimation via Pair Consistency Voting
This paper presents a unified definition for point cloud normals of feature and non-feature points, which allows feature points to possess multiple normals.
Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image
Given a single depth image, our method first goes through the 3D volume branch to obtain a volumetric scene reconstruction as a guide to the next view inpainting step, which attempts to make up the missing information; the third step involves projecting the volume under the same view of the input, concatenating them to complete the current view depth, and integrating all depth into the point cloud.
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.
Fast color transfer from multiple images
Our algorithm is not restricted to one-to-one image color transfer and can make use of more than one target images to transfer the color in different regions in the source image.
Digital Makeup from Internet Images
Our algorithm is not restricted to one-to-one image color transfer and can make use of more than one target images to transfer the color in different parts in the source image.
