Papers 3D Depth Estimation
“3D Depth Estimation” 태그가 달린 논문 20편 · 필터 해제
A Study of Finetuning Video Transformers for Multi-view Geometry Tasks
This paper presents an investigation of vision transformer learning for multi-view geometry tasks, such as optical flow estimation, by fine-tuning video foundation models. Unlike previous methods that involve custom arch…
Optical Flow Estimation3D Depth EstimationSelf-Supervised Learning for Robotic Leaf Manipulation: A Hybrid Geometric-Neural Approach
Automating leaf manipulation in agricultural settings faces significant challenges, including the variability of plant morphologies and deformable leaves. We propose a novel hybrid geometric-neural approach for autonomou…
3D Depth EstimationDepth EstimationInstance SegmentationSelf-Supervised Learning+1ArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation
Due to advancements in infrastructural modulations, architectural design is one of the most peculiar and tedious processes. As the technology evolves to the next phase, using some latest techniques like generative advers…
3D Architecture3D Depth Estimation3D Semantic Scene Completion from a single 2D image3D Shape Modeling+6Towards a Robust Framework for NeRF Evaluation
Neural Radiance Field (NeRF) research has attracted significant attention recently, with 3D modelling, virtual/augmented reality, and visual effects driving its application. While current NeRF implementations can produce…
3D Depth EstimationImage Quality AssessmentNeRFNeural Rendering+1CLiNet: Joint Detection of Road Network Centerlines in 2D and 3D
This work introduces a new approach for joint detection of centerlines based on image data by localizing the features jointly in 2D and 3D. In contrast to existing work that focuses on detection of visual cues, we explor…
3D Depth EstimationPutting People in their Place: Monocular Regression of 3D People in Depth
Given an image with multiple people, our goal is to directly regress the pose and shape of all the people as well as their relative depth. Inferring the depth of a person in an image, however, is fundamentally ambiguous …
3D Depth EstimationregressionMonocular, One-stage, Regression of Multiple 3D People
This paper focuses on the regression of multiple 3D people from a single RGB image. Existing approaches predominantly follow a multi-stage pipeline that first detects people in bounding boxes and then independently regre…
3D Depth Estimation3D Human Pose Estimation3D Multi-Person Mesh Recovery3D Multi-Person Pose Estimation+2SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view. Addressing this ambiguity requires to aggregate var…
2D Pose Estimation3D Depth Estimation3D Human Pose Estimation3D Multi-Person Pose Estimation+4Coherent Reconstruction of Multiple Humans from a Single Image
In this work, we address the problem of multi-person 3D pose estimation from a single image. A typical regression approach in the top-down setting of this problem would first detect all humans and then reconstruct each o…
3D Depth Estimation3D Human Reconstruction3D Pose Estimation3D Reconstruction+3End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
Reliable and accurate 3D object detection is a necessity for safe autonomous driving. Although LiDAR sensors can provide accurate 3D point cloud estimates of the environment, they are also prohibitively expensive for man…
3D Depth Estimation3D Object DetectionAutonomous DrivingDepth Estimation+3Spherical View Synthesis for Self-Supervised 360 Depth Estimation
Learning based approaches for depth perception are limited by the availability of clean training data. This has led to the utilization of view synthesis as an indirect objective for learning depth estimation using effici…
3D Depth EstimationDepth EstimationA Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision
The 3D depth estimation and relative pose estimation problem within a decentralized architecture is a challenging problem that arises in missions that require coordination among multiple vision-controlled robots. The dep…
3D Depth EstimationDepth EstimationPose EstimationCamera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
Although significant improvement has been achieved recently in 3D human pose estimation, most of the previous methods only treat a single-person case. In this work, we firstly propose a fully learning-based, camera dista…
3D Absolute Human Pose Estimation3D Depth Estimation3D Human Pose Estimation3D Multi-Person Pose Estimation+6MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
We tackle the fundamentally ill-posed problem of 3D human localization from monocular RGB images. Driven by the limitation of neural networks outputting point estimates, we address the ambiguity in the task by predicting…
3D Depth Estimation3D Object DetectionSelf-Driving CarsA Deep Generative Model for Graph Layout
Different layouts can characterize different aspects of the same graph. Finding a "good" layout of a graph is thus an important task for graph visualization. In practice, users often visualize a graph in multiple layouts…
3D Depth EstimationDecoderLayout Designmodel+1CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
Single-view depth estimation suffers from the problem that a network trained on images from one camera does not generalize to images taken with a different camera model. Thus, changing the camera model requires collectin…
3D Depth EstimationDepth EstimationDepth PredictionDomain GeneralizationDepth-Map Generation using Pixel Matching in Stereoscopic Pair of Images
Modern day multimedia content generation and dissemination is moving towards the presentation of more and more `realistic' scenarios. The switch from 2-dimensional (2D) to 3-dimensional (3D) has been a major driving forc…
3D Depth EstimationDeepFlash: Turning a Flash Selfie into a Studio Portrait
We present a method for turning a flash selfie taken with a smartphone into a photograph as if it was taken in a studio setting with uniform lighting. Our method uses a convolutional neural network trained on a set of pa…
3D Depth EstimationEvent-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns
This paper presents a new method for 3D depth estimation using the output of an asynchronous time driven image sensor. In association with a high speed Digital Light Processing projection system, our method achieves real…
3D Depth EstimationDepth EstimationDeepVel: deep learning for the estimation of horizontal velocities at the solar surface
Many phenomena taking place in the solar photosphere are controlled by plasma motions. Although the line-of-sight component of the velocity can be estimated using the Doppler effect, we do not have direct spectroscopic a…
3D Depth Estimation