「3d」の検索結果
93 件Video games provide a practical setting for collecting vision-language-action (VLA) data, whose acquisition in
Accurate prediction of Prostate Imaging Reporting and Data System (PI-RADS) scores from multiparametric MRI (m
Long-range 3D object detection remains difficult for autonomous vehicles because LiDAR returns become sparse a
Streaming 3D reconstruction must maintain geometric quality over long inputs within a fixed GPU budget. A pret
Online 3D Gaussian mapping enables fast and high-fidelity novel view synthesis, with broad applications in aug
Dynamic driving scene reconstruction has made remarkable strides in recent years by leveraging generative prio
Large 3D repositories make it easy to collect assets, but difficult to determine whether they can be reused re
Hamilton-Jacobi (HJ) reachability provides certified backward reachable tubes (BRTs) for safety-critical robot
CVATは、機械学習用の業界標準のデータエンジンです。さまざまなスケールのチームが使用し、さまざまなスケールのデータに対応しています。
ノードベースのビジュアルプログラミングツールです。
3D点群処理のためのライブラリであるPoint Cloud Library（PCL）。
A substantial line of work builds rotation invariance directly into point cloud architectures. We benchmark 10
Autonomous vehicles require robust perception systems to operate safely under diverse environmental conditions
Mapping the three-dimensional distribution of dark matter is key to tracing the growth of cosmic structure. Tw
Scientific discovery builds on accurate observations interpreted through domain knowledge and reasoning. For s
Procedural modeling offers compact, editable, and reusable representations for architectural content, but buil
Accurate preoperative prediction of lung adenocarcinoma invasiveness is important for surgical planning and in
Intracardiac flow is driven by complex, and time-varying cardiac motion and interaction with the heart valves,
State-of-the-art bronchoscopy guidance systems and computer-aided diagnosis methods have emerged as important
Longitudinal rodent positron emission tomography (PET) studies of stroke and neuromodulation rely on accurate
We describe our approach to the V2X-Real track of the UrbanTwin Sim2Real LiDAR Challenge, in which a 3D object
We describe our approach to the LUMPI track of the UrbanTwin Sim2Real LiDAR Challenge, in which a 3D object de
We present Isekai3D Synthetic Data Generation (SDG), a platform for simulating and capturing synthetic 3D game
Automatic rigging is a fundamental task for both static 3D and dynamic 4D mesh animation, yet existing methods
Robust 3D point-cloud recognition is critical for robotics, mapping, and urban sensing, yet point-cloud classi
We introduce CoLa3D, a simple and effective model for composable 3D scene decomposition that, given a single w
Parametric human body models such as the Skinned Multi-Person Linear (SMPL) model provide compact representati
Class-incremental learning (CIL) for outdoor 3D object detection remains largely underexplored. Existing outdo
Most image-based 3D reconstructors primarily recover visible surfaces, producing partial point clouds with lar
Estimating the metric 3D position of people from a monocular camera is important for robot navigation and moti
3D Gaussian Splatting (3DGS) has become a vital tool in novel view synthesis. 3D Gaussian functions with attri
Multi-source remote sensing data classification has received growing attention recently. However, existing met
We present a GPU-native volumetric-video system for real-time reconstruction of graphics-compatible textured t
Three-dimensional human pose estimation has become a fundamental component of computer vision systems for spor
Classical structure-from-motion reconstruction proceeds iteratively, refining camera poses and scene geometry
Urban photogrammetric point clouds are commonly processed as local 3D patches, limiting the context available
Range-image-based point cloud super-resolution provides an effective way to reconstruct sparse outdoor point c
Lip reading plays a crucial role in applications such as speech recognition, assistive technologies for the he
3D Gaussian Splatting (3DGS) enables photorealistic novel- view synthesis with real-time rendering, yet fine-g
Understanding how objects and their spatial relationships evolve in 3D space over time remains challenging for
This paper studies what subspace representations contribute to synthetic-to-real transfer in 3-D surface inspe
3D Gaussian Splatting (3DGS) has shown considerable potential for novel view synthesis (NVS) and 3D reconstruc
3-D road anomaly segmentation is essential for risk-aware perception in autonomous driving. Its central challe
Reconstructing detailed geometry and realistic appearance from a single RGB image is essential yet fundamental
3D generation, editing, and completion are typically treated as regenerating the complete 3D asset under task-
Clinical evidence is inherently relational: medical images are interpreted with prior studies, cross-modal exa
3D semantic occupancy prediction provides dense geometric and semantic scene representations for autonomous dr
In virtual environments, choosing appropriate outfits requires contextual harmony with surrounding scenes, yet
Understanding how cells respond to perturbations over time is central to cell biology and drug discovery. Live
A robot that acts around people needs a world model of the human: a belief over the person's body state and a
Soft robot co-design methods can jointly optimise morphology and control, but the resulting designs are often
Field robots operating in mines, tunnels, and disaster areas require reliable localization despite GNSS denial
This paper presents a decentralized guiding vector field framework for rigid formation path following in multi
Autonomous robots are gaining traction in off-road environments, driven by their rising demand in agriculture,
Generalization remains a central challenge in robotics, calling for policies that address domain variations fr
Recent robot systems combine wrist and fixed cameras, requiring camera-to-robot transforms for both. Most hand
Purpose: Blended augmented reality (AR) overlays can provide ambiguous depth cues in which subsurface anatomy
Language and vision models became data-efficient by pretraining on plentiful unlabelled data; physical field m
Multimodal Large Language Models (MLLMs) have made substantial progress in 3D scene understanding from multi-v
High-resolution three-dimensional (3D) microstructure characterization remains difficult to undertake at scale
Monocular depth estimation aims to predict depth maps from single RGB images (forgoing the need for stereo cam
Roadside sensing infrastructure is essential for Intelligent Transportation Systems (ITS), but cameras and leg
Monocular semantic SLAM aims to reconstruct scene geometry and build semantic maps from RGB observations. Exis
The efficiency and fidelity of 3D Gaussian Splatting critically depend on adaptive density control, which grow
The spatial intelligence of large vision-language models (LVLMs) requires the ability to combine local visual
Mechanical hysteresis and pneumatic loading complicate contact force estimation from deformation measurements
Robots manipulating in cluttered spaces must often plan from partial views where foreground objects occlude th
Vision-language models can interpret instructions and plan manipulation tasks, yet struggle when acting direct
In this paper, we present a reconstruction pipeline that empirically quantifies the photorealistic scene recon
Streaming 3D reconstruction models keep past video frames in a recurrent state, fast weights from test-time tr
Accurate posture feedback is essential for precise control of continuum robots. Off-the-shelf bend sensors mea
Laser doppler vibrometer (LDV) scans can be used to detect defects and cracks in manufactured parts before the
When searching for an object, humans naturally combine semantic intuition - reasoning about where the object i
The absolute trajectory error (ATE) is the standard measure of camera-motion accuracy, from SLAM to feed-forwa
This paper introduces \emph{catenary visibility}, a new geometric visibility concept for a robotic system cons
Camera localization methods are mostly multi-stage pipelines relying on dedicated and complex maps that are co
Dense 3D tracking from monocular video requires establishing point correspondences over time, estimating their
Unityを使用してマシンラーニングエージェントを訓練して訓練できるツールです。
Probabilistic meshless methods solve partial differential equations (PDEs) by placing a Gaussian process prior
Predicting future physical states stands as a central challenge in embodied intelligence. Existing video world
Vision-language models can get individual judgments right while struggling to recover and consistently use the
Interactive world models generate visual content conditioned on user actions, yet maintaining spatial consiste
The hair of stylized characters in games and avatars is built from hair cards: artist-placed ribbons whose geo
Video diffusion transformers generate high-quality videos, but the quadratic cost of 3D full attention dominat
OpenWorldLibは、進化する世界モデルを提供する統一されたコードベースです。
Generating videos of a specific subject from a few reference images remains challenging when the camera reveal
この作品は机械学習の論文を100行のコードで実装する方法について説明しています。
このプロジェクトは２Ｄおよび３Ｄ顔の分析を実現するための基盤プロジェクトであり、最先端の技術を導入して顔の分析を実現します。
Synthesizing a monocular video from a new camera trajectory requires preserving the observed scene geometry an
This work examines the transfer of a co-evolved communication mechanism between two robotic agents from a disc
Neural Architecture Search (NAS) has proved to be a strong alternative to manual network design, but applying
The Three-Dimensional Trailer Loading Problem (3D-TLP) involves determining the optimal placement and orientat
This work evaluates the direct transfer of a co-evolved communication protocol from a 2D simulation to a 3D ph