“The article highlights the development process and the behind-the-scenes of 'prompt engineering' to infuse personality and ethics into the AI.”

“Understanding the evaluation metrics is key to unlocking the power of the latest self-driving technology!”

“Understanding the evaluation metrics is key to understanding the latest autonomous driving technology.”

“Further details of the content are unavailable given the article's structure.”

“Although there is no direct quote from the article, the key takeaway is the exploration of PointNet and PointNet++.”

“AI is rapidly evolving, and is expected to penetrate the IT delivery field as a behind-the-scenes support system for 'output creation' and 'progress/risk management.'”

“AIを「整理役・編集者・パートナー」として位置づけ、docs を中心とした開発記録の考え方を紹介しました。”

“India's IT ministry has given X 72 hours to submit an action-taken report.”

“The article quotes the source, Zenn LLM, and mentions the website codescene.com. It also uses the phrase "writing speed > understanding speed" to illustrate the core problem.”

“SpaceTimePilot can independently alter the camera viewpoint and the motion sequence within the generative process, re-rendering the scene for continuous and arbitrary exploration across space and time.”

“GaMO expands the field of view from existing camera poses, which inherently preserves geometric consistency while providing broader scene coverage.”

“Edit3r directly predicts instruction-aligned 3D edits, enabling fast and photorealistic rendering without optimization or pose estimation.”

“PhysTalk is the first framework to couple 3DGS directly with a physics simulator without relying on time consuming mesh extraction.”

“The framework demonstrates potential for retrievals of atmospheric, cloud and surface variables, providing information that can serve as a prior, initial guess, or surrogate for computationally expensive full-physics inversion methods.”

“ArtiSG significantly outperforms baselines in functional element recall and articulation estimation precision.”

“Our algorithm enables off-the-shelf cross-modal systems trained on 2D visual inputs to adapt online to object occlusions and differentiate features.”

“The proposed method successfully created adversarial examples that lead to depth misestimations, resulting in parts of objects disappearing from the target scene.”

“DGGT's biggest breakthrough is that it gets rid of the dependence on scene-by-scene optimization, camera calibration, and short frame windows of traditional solutions.”

“Xiu Yuliang shared the latest three works of the Yuanxi Lab, namely UP2You, ETCH, and Human3R.”

“The paper introduces a new dataset named "FireRescue" and proposes an improved model named FRS-YOLO.”

““...the first real-world large-scale multi-modal dataset for roadside-level 3D visual grounding.””

“RGBT-Ground, the first large-scale visual grounding benchmark built for complex real-world scenarios.”

“Removing dynamic elements leads to a consistent 30.97% decrease in perceived vibrancy.”

“LVLDrive achieves superior performance compared to vision-only counterparts across scene understanding, metric spatial perception, and reliable driving decision-making.”

“NBODY6++GPU and NBODY7 entered the scene, and also recent new competitors, such as PETAR or BIFROST.”

“The framework reconceptualizes stitching from a two-dimensional warping paradigm to a three-dimensional consistency paradigm.”

“Mirage achieves high realism and temporal consistency across diverse editing scenarios.”

“The method produces higher-quality images at novel extrapolated viewpoints compared with baselines.”

“PanCAN learns multi-order neighborhood relationships at each scale by combining random walks with an attention mechanism.”

“The paper introduces SpatialMosaic, a comprehensive instruction-tuning dataset featuring 2M QA pairs, and SpatialMosaic-Bench, a challenging benchmark for evaluating multi-view spatial reasoning under realistic and challenging scenarios, consisting of 1M QA pairs across 6 tasks.”

“YOLO-Master achieves 42.4% AP with 1.62ms latency, outperforming YOLOv13-N by +0.8% mAP and 17.8% faster inference.”

“The method significantly improves convergence and generation quality even after pruning 85% of the training data, and achieves state-of-the-art performance across downstream tasks.”

“AVOID consists of a large set of unexpected road obstacles located along each path captured under various weather and time conditions.”

“Our approach directly aligns textual information with the 3D scene by embedding rich linguistic features into each Gaussian primitive, thereby achieving early modality alignment.”

“Our key insight is that continuous Gaussian and discrete voxel representations capture complementary geometric information: Gaussians excel at modeling fine-grained surface details while voxels provide structured spatial context.”

“ReSUs offer (i) a principled framework for modeling sensory circuits and (ii) a biologically grounded, backpropagation-free paradigm for constructing deep self-supervised neural networks.”

“The context-aware model achieves a classification accuracy of 73.4%, dramatically outperforming context-agnostic versions (as low as 38.4%).”

“The Active Cognition-based Reasoning (ACR) module performs human-like perception of the target via a cognitive task chain and actively reasons about contextually relevant objects, thereby extending VLM cognition through a dynamically updated OLT.”

“The room looks messy but comfortable. like people were just sitting around waiting for midnight. flipping through channels. not doing anything special.”

“Unfortunately for images of people it does lose facial likeness over time.”

“ColaVLA achieves state-of-the-art performance in both open-loop and closed-loop settings with favorable efficiency and robustness.”

“SCaR-3D, a novel 3D scene change detection framework that identifies object-level changes from a dense-view pre-change image sequence and sparse-view post-change images.”

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“The paper proposes an active learning algorithm with Fisher Information that quantifies the informativeness of candidate views with respect to both semantic Gaussian parameters and deformation networks.”

“The key idea is to represent the decomposed 4D scene with the Freetime FeatureGS and design a streaming feature learning strategy to accurately recover it from per-image segmentation maps, eliminating the need for video segmentation.”

“A 2D flat character illustration, hard angle with dust and closeup epic fight scene. Showing A thin Blindfighter in battle against several blurred giant mantis. The blindfighter is wearing heavy plate armor and carrying a kite shield with single disturbing eye painted on the surface. Sheathed short sword, full plate mail, Blind helmet, kite shield. Retro VHS aesthetic, soft analog blur, muted colors, chromatic bleeding, scanlines, tape noise artifacts.”

“SCPainter integrates 3D Gaussian Splat (GS) car asset representations and 3D scene point clouds with diffusion-based generation to jointly enable realistic 3D asset insertion and NVS.”

“InsCom achieves a data volume reduction of over 7.82 times and a quality improvement ranging from 1.75 to 14.03 dB compared to the state-of-the-art SemCom systems.”

“Lately it has been notable that the generated prose text is better written and generally longer. Analysis and planning also got more extensive and there even have been cases where it created documents that I didn't specifically ask for for certain content.”

“Is there a way to use such precise segmentation maps (together with some text/json file describing what each color represents) to communicate complex scene layouts in a structured way?”