Topic: 2d-to-3d Goto Github
Some thing interesting about 2d-to-3d
Some thing interesting about 2d-to-3d
2d-to-3d,SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
Organization: ai4ce
2d-to-3d,[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
User: amir-arsalan
2d-to-3d,[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
Organization: astra-vision
Home Page: https://astra-vision.github.io/MonoScene/
2d-to-3d,This repository contains code for the experimentation that I did to test the pre-trained model provided in PRNet.
User: chakshu-dhannawat
2d-to-3d,Unity application to convert 2D sketches to 3D models which could be maneuvered around using hand gestures (to a position and orientation of choice) in a 3D scene.
User: divyanshu-talwar
2d-to-3d,42 project cub3d, with a main menu, settings, sound & music, a minimap, actual gameplay with a random generated map, an endscreen with a highscore and more features coming soon
User: eschirni
2d-to-3d,We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
Organization: forth-modelbasedtracker
Home Page: https://www.youtube.com/watch?v=Jgz1MRq-I-k
2d-to-3d,Create 3d rooms in blender from floorplans.
User: grebtsew
2d-to-3d,Web-based tool that turns 2D images into smooth 3D models.
User: harry7557558
Home Page: https://harry7557558.github.io/img23d/
2d-to-3d,[ICRA 2024] SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net
User: helincao618
Home Page: https://sites.google.com/view/slcf-net
2d-to-3d,Pose Estimation for Interactive Metaverse Fitness (Capstone Design 2022)
User: lpigeon
2d-to-3d,Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
User: nicholasli1995
Home Page: https://arxiv.org/abs/2006.07778
2d-to-3d,Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
Organization: nvlabs
2d-to-3d,An extension for Pixelorama that generates 3D voxel art out of 2D pixel art.
Organization: orama-interactive
2d-to-3d,The official project website of "3D Human Pose Lifting with Grid Convolution" (GridConv for short, oral in AAAI 2023)
Organization: osvai
2d-to-3d,vid23d Scallop transforms 2D video into 3D stereo SBS video using depth estimation and stereo pair generation. Utilizing deep learning and computer vision, it supports frame processing, audio merging, and enhanced visualization.
User: otanadzetsotne
2d-to-3d,Using NeRF we can convert 2d images into 3d.
User: rahul-kad
2d-to-3d,Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
Organization: sense-gvt
2d-to-3d,Concatenate a sequence of 2D images (slices) e.g. jpeg into a 3D stack (volume) e.g. Nifti (ITK-based)
User: stefanomoriconi
2d-to-3d,Extruding a 32-bit color image into a 3D mesh.
User: stevinz
Home Page: https://stevinz.github.io/extrude-html5/
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