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Found 16 papers, 8 papers with code
NeRF-Guided Unsupervised Learning of RGB-D Registration
In this paper, we present NeRF-UR, a novel frame-to-model optimization framework for unsupervised RGB-D registration.
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
With the recent success of the diffusion probabilistic model (DPM), we found it is especially suitable for accurate and crisp edge detection since the denoising process is directly applied to the original image size.
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
The commonly adopted detect-then-match approach to registration finds difficulties in the cross-modality cases due to the incompatible keypoint detection and inconsistent feature description.
Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction
Surface reconstruction from raw point clouds has been studied for decades in the computer graphics community, which is highly demanded by modeling and rendering applications nowadays.
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
Learning-based edge detection usually suffers from predicting thick edges.
Weakly-supervised Single-view Image Relighting
For re-rendering, we propose a differentiable specular rendering layer to render low-frequency non-Lambertian materials under various illuminations of spherical harmonics.
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement
To tackle the challenges, we propose an accurate template matching method based on differentiable coarse-to-fine correspondence refinement.
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
We study the problem of reconstructing 3D feature curves of an object from a set of calibrated multi-view images.
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition
Therefore, we propose a novel depth map fusion module to combine the advantages of estimations with multi-resolution inputs.
6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features
We introduce a well-targeted down-sampling strategy that focuses more on edge area for efficient feature extraction of complex geometry.
DisARM: Displacement Aware Relation Module for 3D Detection
However, adopting relations between all the object or patch proposals for detection is inefficient, and an imbalanced combination of local and global relations brings extra noise that could mislead the training.
STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization
In particular, we impose a consistency regularization which enforces the outputs from each of the multiple layers to be consistent for the input image and its perturbed counterpart.
Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation
We present an unsupervised approach for factorizing object appearance into highlight, shading, and albedo layers, trained by multi-view real images.
SCORES: Shape Composition with Recursive Substructure Priors
The network may significantly alter the geometry and structure of the input parts and synthesize a novel shape structure based on the inputs, while adding or removing parts to minimize a structure plausibility loss.
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction
We present a method for estimating detailed scene illumination using human faces in a single image.
Automatic Fence Segmentation in Videos of Dynamic Scenes
We present a fully automatic approach to detect and segment fence-like occluders from a video clip.
