Tootfinder

MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion
Guiyong Zheng, Jinqi Jiang, Chen Feng, Shaojie Shen, Boyu Zhou
https://arxiv.org/abs/2403.11681

MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion
Surface prediction and completion have been widely studied in various applications. Recently, research in surface completion has evolved from small objects to complex large-scale scenes. As a result, researchers have begun increasing the volume of data and leveraging a greater variety of data modalities including rendered RGB images, descriptive texts, depth images, etc, to enhance algorithm performance. However, existing datasets suffer from a deficiency in the amounts of scene-level models al…

📢 Bundesliga: Bayer Leverkusen ist vorzeitig Deutscher Meister
Mit einem Sieg gegen Bremen hat sich Bayer Leverkusen erstmals in der Vereinsgeschichte die deutsche Meisterschaft gesichert. Das Team von Trainer Alonso ist in dieser Saison ungeschlagen und führt die Tabelle uneinholbar vor Bayern München an.
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Bundesliga: Bayer Leverkusen ist vorzeitig Deutscher Meister
Mit einem Sieg gegen Bremen hat sich Bayer Leverkusen erstmals in seiner Geschichte die deutsche Meisterschaft gesichert. Das Team von Xabi Alonso ist in dieser Saison ungeschlagen und führt die Tabelle uneinholbar vor Bayern München an.

TMM$-$Sim: A Versatile Tool for Optical Simulation of Thin$-$Film Solar Cells
Leandro Benatto, Omar Mesquita, Kaike R. M. Pachecoand Lucimara S. Roman, Marlus Koehler, Rodrigo B. Capaz, Grazi\^ani Candiotto
https://arxiv.org/abs/2404.12191

TMM$-$Sim: A Versatile Tool for Optical Simulation of Thin$-$Film Solar Cells
The Transfer Matrix Method (TMM) has become a prominent tool for the optical simulation of thin$-$film solar cells, particularly among researchers specializing in organic semiconductors and perovskite materials. As the commercial viability of these solar cells continues to advance, driven by rapid developments in materials and production processes, the importance of optical simulation has grown significantly. By leveraging optical simulation, researchers can gain profound insights into photovol…

MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion
Guiyong Zheng, Jinqi Jiang, Chen Feng, Shaojie Shen, Boyu Zhou
https://arxiv.org/abs/2403.11681

MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion
Surface prediction and completion have been widely studied in various applications. Recently, research in surface completion has evolved from small objects to complex large-scale scenes. As a result, researchers have begun increasing the volume of data and leveraging a greater variety of data modalities including rendered RGB images, descriptive texts, depth images, etc, to enhance algorithm performance. However, existing datasets suffer from a deficiency in the amounts of scene-level models al…

This https://arxiv.org/abs/2402.18152 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Boosting Neural Representations for Videos with a Conditional Decoder
Implicit neural representations (INRs) have emerged as a promising approach for video storage and processing, showing remarkable versatility across various video tasks. However, existing methods often fail to fully leverage their representation capabilities, primarily due to inadequate alignment of intermediate features during target frame decoding. This paper introduces a universal boosting framework for current implicit video representation approaches. Specifically, we utilize a conditional d…

Journey into SPH Simulation: A Comprehensive Framework and Showcase
Haofeng Huang (Tsinghua University), Li Yi (Tsinghua University)
https://arxiv.org/abs/2403.11156

Journey into SPH Simulation: A Comprehensive Framework and Showcase
This report presents the development and results of an advanced SPH (Smoothed Particle Hydrodynamics) simulation framework, designed for high fidelity fluid dynamics modeling. Our framework, accessible at https://github.com/jason-huang03/SPH_Project, integrates various SPH algorithms including WCSPH, PCISPH, and DFSPH, alongside techniques for rigid-fluid coupling and high viscosity fluid simulations. Leveraging the computational power of CUDA and the versatility of Taichi, the framework excels…

This https://arxiv.org/abs/2403.10723 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Leveraging Symmetries in Gaits for Reinforcement Learning: A Case Study on Quadrupedal Gaits
In this research, we address the complex task of developing versatile and agile quadrupedal gaits for robotic platforms, a domain predominantly governed by model-based trajectory optimization methods. We propose an innovative, reference-free reinforcement learning framework that exploits the intrinsic symmetries of dynamic systems to synthesize a broad array of naturalistic quadrupedal locomotion patterns. By capitalizing on distinct symmetry characteristics - namely temporal, morphological, an…

📢 Fußballerinnen des FC Bayern sichern vorzeitig Meistertitel
Die Fußballerinnen des FC Bayern München haben wie im Vorjahr die deutsche Meisterschaft gewonnen. Das Team von Trainer Alexander Straus siegte mit 2:1 bei Bayer Leverkusen und kann an den beiden letzten Spieltagen nicht mehr von Verfolger VfL Wolfsburg eingeholt werden.
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Fußballerinnen des FC Bayern sichern vorzeitig Meistertitel
Die Fußballerinnen des FC Bayern München haben wie im Vorjahr die deutsche Meisterschaft gewonnen. Das Team von Trainer Alexander Straus siegte mit 2:1 bei Bayer Leverkusen und kann an den beiden letzten Spieltagen nicht mehr von Verfolger VfL Wolfsburg eingeholt werden.

DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning
Zeyu Gao, Yao Mu, Jinye Qu, Mengkang Hu, Lingyue Guo, Ping Luo, Yanfeng Lu
https://arxiv.org/abs/2406.09953

DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning
Dual-arm robots offer enhanced versatility and efficiency over single-arm counterparts by enabling concurrent manipulation of multiple objects or cooperative execution of tasks using both arms. However, effectively coordinating the two arms for complex long-horizon tasks remains a significant challenge. Existing task planning methods predominantly focus on single-arm robots or rely on predefined bimanual operations, failing to fully leverage the capabilities of dual-arm systems. To address this…

Versatile LiDAR-Inertial Odometry With SE (2) Constraints for Ground Vehicles
Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
https://arxiv.org/abs/2404.01584

Versatile LiDAR-Inertial Odometry With SE (2) Constraints for Ground Vehicles
LiDAR SLAM has become one of the major localization systems for ground vehicles since LiDAR Odometry And Mapping (LOAM). Many extension works on LOAM mainly leverage one specific constraint to improve the performance, e.g., information from on-board sensors such as loop closure and inertial state; prior conditions such as ground level and motion dynamics. In many robotic applications, these conditions are often known partially, hence a SLAM system can be a comprehensive problem due to the exist…