3D Depth Estimation
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Benchmarks
Relative Human
Most implemented
Putting People in their Place: Monocular Regression of 3D People in Depth
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
Monocular, One-stage, Regression of Multiple 3D People
Spherical View Synthesis for Self-Supervised 360 Depth Estimation
Towards a Robust Framework for NeRF Evaluation
Papers
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 Estimationregression