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09/20/2023
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
Neural radiance field is an emerging rendering method that generates hig...
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09/19/2023
Locally Stylized Neural Radiance Fields
In recent years, there has been increasing interest in applying stylizat...
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07/18/2023
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration
In this paper, we address the problem of conditional scene decoration fo...
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11/16/2022
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors
In this paper, we propose a new method for mapping a 3D point cloud to t...
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11/14/2022
Regression-based Monte Carlo Integration
Monte Carlo integration is typically interpreted as an estimator of the ...
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10/28/2022
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis
Recently, great progress has been made in 3D deep learning with the emer...
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10/28/2022
Single-Image HDR Reconstruction by Multi-Exposure Generation
High dynamic range (HDR) imaging is an indispensable technique in modern...
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09/13/2022
Time-of-Day Neural Style Transfer for Architectural Photographs
Architectural photography is a genre of photography that focuses on capt...
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03/16/2022
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
Medical image segmentation has been so far achieving promising results w...
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03/16/2022
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Medical image analysis using deep learning has recently been prevalent, ...
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02/26/2022
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
3D point clouds deep learning is a promising field of research that allo...
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01/15/2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
Capsule network is a recent new deep network architecture that has been ...
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12/02/2021
TISE: A Toolbox for Text-to-Image Synthesis Evaluation
In this paper, we conduct a study on state-of-the-art methods for single...
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12/01/2021
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
Real-world image manipulation has achieved fantastic progress in recent ...
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08/04/2021
Neural Scene Decoration from a Single Photograph
Furnishing and rendering an indoor scene is a common but tedious task fo...
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05/07/2021
Network Pruning That Matters: A Case Study on Retraining Variants
Network pruning is an effective method to reduce the computational expen...
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08/27/2020
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds
With the recent developments of convolutional neural networks, deep lear...
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08/07/2020
Global Context Aware Convolutions for 3D Point Cloud Understanding
Recent advances in deep learning for 3D point clouds have shown great pr...
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08/17/2019
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Recent progresses in 3D deep learning has shown that it is possible to d...
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08/17/2019
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Deep learning with 3D data has progressed significantly since the introd...
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08/13/2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Deep learning techniques for point cloud data have demonstrated great po...
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04/01/2019
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
Deep learning techniques have become the to-go models for most vision-re...
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04/01/2018
Real-time Progressive 3D Semantic Segmentation for Indoor Scene
The widespread adoption of autonomous systems such as drones and assista...
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12/14/2017
Point-wise Convolutional Neural Network
Deep learning with 3D data such as reconstructed point clouds and CAD mo...
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09/08/2017
Calibration of depth cameras using denoised depth images
Depth sensing devices have created various new applications in scientifi...
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10/19/2016