Every paper checked — nothing hidden

All papers

Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.

All17,313 In brief24 More (on-topic)3,333 Not relevant13,754 Not assessed87 Older352 Could not confirm93 Blogs with no paper266 All blogs284

Paper	Topic	Relevance
Regime-Aware Router Learning for Multi-Domain Medical Image Generation with Diffusion Experts Evaluates router-learning strategies for combining domain-specialized diffusion experts in multi-domain medical image generation. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Does not address deployment safety, hallucination, or adversarial robustness.
Regime-Aware Router Learning for Multi-Domain Medical Image Generation with Diffusion Experts Evaluates router-learning strategies for combining domain-specialized diffusion experts in multi-domain medical image generation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on medical image generation across domains, not industrial inspection.
Regime-Aware Router Learning for Multi-Domain Medical Image Generation with Diffusion Experts Evaluates router-learning strategies for combining domain-specialized diffusion experts in multi-domain medical image generation. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Presents a routing framework for diffusion experts, not model evaluation methods.
Regime-Aware Router Learning for Multi-Domain Medical Image Generation with Diffusion Experts Evaluates router-learning strategies for combining domain-specialized diffusion experts in multi-domain medical image generation. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Involves diffusion image generation rather than cross-modal understanding or VLMs.
Regime-Aware Router Learning for Multi-Domain Medical Image Generation with Diffusion Experts Evaluates router-learning strategies for combining domain-specialized diffusion experts in multi-domain medical image generation. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Studies multi-domain diffusion expert routing rather than small models or efficient inference.
Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding Proposes a training-free frame packing method enabling vision-language models to process long videos with constant memory consumption. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on general long video VLM inference, not industrial inspection.
Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding Proposes a training-free frame packing method enabling vision-language models to process long videos with constant memory consumption. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Addresses compute efficiency rather than safety, alignment, or hallucination guardrails.
Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding Proposes a training-free frame packing method enabling vision-language models to process long videos with constant memory consumption. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Proposes a video compression technique rather than benchmark or evaluation methodology.
Geometry-Guided Semantic Reconstruction for 3D Instance Segmentation Introduces masked semantic reconstruction and geometry modulation to better align lifted 2D semantic priors with 3D instance representations. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Targets general 3D indoor scene segmentation, not industrial manufacturing environments.
A Concept-informed Interpretable Artificial Intelligence Framework for Breast Ultrasound Diagnosis Develops an interpretable AI framework for breast ultrasound diagnosis incorporating clinical standard descriptors and assessment workflows. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses clinical breast ultrasound diagnosis, not industrial defect or anomaly detection.
ProMoDD: Dataset Distillation for 3D Human Motion via Prototype-Conditioned Diffusion Models Proposes a prototype-conditioned diffusion method to distill large 3D human motion datasets into compact representative subsets. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on human motion action recognition, not industrial vision tasks.
ProMoDD: Dataset Distillation for 3D Human Motion via Prototype-Conditioned Diffusion Models Proposes a prototype-conditioned diffusion method to distill large 3D human motion datasets into compact representative subsets. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Studies 3D skeleton action distillation, not multimodal cross-modality models.
All-St3R SLAM: Real-time RGB Dynamic SLAM with Pixel-wise Motion Masking Presents a real-time RGB dynamic SLAM framework that removes moving objects at pixel precision using motion discrepancy analysis. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Addresses geometric dynamic SLAM tracking without multimodal language integration.
All-St3R SLAM: Real-time RGB Dynamic SLAM with Pixel-wise Motion Masking Presents a real-time RGB dynamic SLAM framework that removes moving objects at pixel precision using motion discrepancy analysis. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on autonomous robotics SLAM, not industrial manufacturing inspection.
Esports World Model Dataset Releases a large gameplay dataset across multiple competitive games to support multi-agent interactive world model research. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Presents a game-engine video and state dataset rather than multimodal foundation models.
Esports World Model Dataset Releases a large gameplay dataset across multiple competitive games to support multi-agent interactive world model research. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Introduces an esports video dataset, completely unrelated to industrial vision.
Geometric Parrots: Rule Absence vs. Rule Fragility in Spatial and Physical Reasoning for Vision-Language Models Introduces a procedural benchmark and dual-loop evaluation to test whether vision-language models maintain physical and spatial reasoning rules under pressure. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Evaluates reasoning consistency in VLMs, not industrial visual inspection.
EgoAlign: Situated 3D Understanding without Situation Descriptions Develops an agent-centric 3D language model that grounds spatial understanding in physical poses without requiring text situation descriptions. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Studies 3D question answering for agents, not industrial defect detection.
DIGS: Distribution-Informed Gaussian Splatting for Training-Free Open-Vocabulary 3D Segmentation Introduces a training-free open-vocabulary 3D segmentation approach that maintains per-primitive label distributions for clean object boundaries. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Presents open-vocabulary 3D segmentation, not industrial defect or manufacturing inspection.
VGGA: Geometry-Grounded Autoencoder for Video Generation Proposes a geometry-grounded video autoencoder incorporating structural depth and geometric constraints to improve latent representations for video generation. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on latent geometric autoencoders for video generation, not multimodal models.
VGGA: Geometry-Grounded Autoencoder for Video Generation Proposes a geometry-grounded video autoencoder incorporating structural depth and geometric constraints to improve latent representations for video generation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Develops a video generation autoencoder, not industrial inspection or defect detection.
Seg2Click: Learning Pixel-Level Action Masks for GUI Visual Grounding Reformulates graphical interface visual grounding as executable-region mask prediction to pinpoint click actions reliably. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Targets GUI agent visual grounding, not manufacturing or industrial anomaly inspection.
MFlowHOI: Whole-Body Human-Object Interaction Generation via Part-Aware MeanFlow Presents a one-step framework to generate whole-body human-object interactions efficiently using structured latent spaces. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on motion generation from text and contacts, lacking broader multimodal reasoning.
MFlowHOI: Whole-Body Human-Object Interaction Generation via Part-Aware MeanFlow Presents a one-step framework to generate whole-body human-object interactions efficiently using structured latent spaces. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Covers human-object interaction motion generation, not industrial visual quality control.
EgoWholeView: Camera-Only Head-Mounted Capture of Body and Bimanual Hand Motion for Embodied Demonstrations Introduces a six-camera head-mounted system to capture body and bimanual hand motions for embodied demonstrations. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on egocentric motion capture for avatars, not industrial visual inspection.
EgoWholeView: Camera-Only Head-Mounted Capture of Body and Bimanual Hand Motion for Embodied Demonstrations Introduces a six-camera head-mounted system to capture body and bimanual hand motions for embodied demonstrations. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on multi-camera motion capture without multimodal language or reasoning components.
Graph3R: Unifying View Graph Initialization with Feed-Forward Reconstruction Combines view graph initialization with feed-forward reconstruction using a shared geometric representation to handle uncurated multi-scene image collections. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses 3D multiview scene reconstruction, not industrial defect detection.
Graph3R: Unifying View Graph Initialization with Feed-Forward Reconstruction Combines view graph initialization with feed-forward reconstruction using a shared geometric representation to handle uncurated multi-scene image collections. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Covers multi-view camera geometry and 3D reconstruction, not multimodal understanding.
FlowAvatar: Real-Time Full-Body Avatars from Sparse Egocentric Inputs on Consumer XR Devices Enables real-time full-body avatar tracking and personalized appearance on standalone consumer headsets using sparse egocentric sensor inputs. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Addresses sensor and camera pose tracking for avatars, not multimodal vision-language models.
FlowAvatar: Real-Time Full-Body Avatars from Sparse Egocentric Inputs on Consumer XR Devices Enables real-time full-body avatar tracking and personalized appearance on standalone consumer headsets using sparse egocentric sensor inputs. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on VR avatar embodiment and pose tracking, not industrial inspection.
DepthTile: Depth-Guided Existing-Image Self-Tiling with Input-Side Tileability Assessment Presents a depth-guided diffusion method to convert images into seamless repeatable tiles while preserving original local geometry and details. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses image self-tiling synthesis, not industrial quality control or inspection.
DepthTile: Depth-Guided Existing-Image Self-Tiling with Input-Side Tileability Assessment Presents a depth-guided diffusion method to convert images into seamless repeatable tiles while preserving original local geometry and details. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on diffusion-based image tiling using monocular depth, not multimodal reasoning.
ProGAN-Based Synthetic Image Generation for Industrial Visual Inspection of Metallic Parts Applies progressive growing generative adversarial networks to generate synthetic images for industrial defect detection on metallic parts. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on GAN-based synthetic image generation, not multimodal vision-language models.
3D Gaussian Splatting for Fine-grained Urban Scene Reconstruction via Semantic-guided Density Control and Loss Design Uses segmentation guidance to improve density control and loss functions for fine-grained 3D Gaussian Splatting scene reconstruction. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Addresses 3D Gaussian Splatting and segmentation, not cross-modal reasoning models.
3D Gaussian Splatting for Fine-grained Urban Scene Reconstruction via Semantic-guided Density Control and Loss Design Uses segmentation guidance to improve density control and loss functions for fine-grained 3D Gaussian Splatting scene reconstruction. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D urban scene reconstruction, not industrial visual inspection.
ClothAtlas: Joint Garment Identification and State Estimation under Self-Occlusion The paper introduces a flow-matching model that jointly identifies garments and estimates full 3D configurations from partial, occluded point clouds. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Studies robotic garment manipulation, not visual inspection or industrial quality control.
ClothAtlas: Joint Garment Identification and State Estimation under Self-Occlusion The paper introduces a flow-matching model that jointly identifies garments and estimates full 3D configurations from partial, occluded point clouds. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D point cloud mesh matching rather than multimodal vision-language models.
Learning Temporal Evidence Selection for Video Anomaly Understanding The paper proposes a learned temporal evidence selection approach to generate grounded text explanations for video anomaly understanding. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on general video anomaly reasoning, not manufacturing or production inspection.
RAR: Rate-Adaptive Rollout for Time-Consistent Interactive World Models The paper presents a rate-adaptive rollout framework that allows interactive video world models to operate consistently across varying temporal rates. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Addresses video generation frame rate adaptation rather than cross-modal understanding.
RAR: Rate-Adaptive Rollout for Time-Consistent Interactive World Models The paper presents a rate-adaptive rollout framework that allows interactive video world models to operate consistently across varying temporal rates. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Covers interactive video world models, not industrial defect detection or visual quality control.
Building age estimation based on widely available multi-source1 geospatial data The paper introduces a deep learning framework to estimate building ages from publicly accessible satellite imagery and digital surface models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on satellite and geospatial imagery, which is excluded from industrial vision.
Building age estimation based on widely available multi-source1 geospatial data The paper introduces a deep learning framework to estimate building ages from publicly accessible satellite imagery and digital surface models. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with remote sensing and geospatial data fusion rather than vision-language multimodal models.
Anomaly-Guided Observation and Two-Level Semantic Feedback for Training-Free Video Anomaly Analysis The paper presents a training-free semantic feedback framework using vision-language models to iteratively detect and explain video anomalies. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on generic video anomaly understanding, not industrial manufacturing inspection.
SyncReward: Human-Aligned Synchronization Reward for Audio-Visual Generation The paper introduces a human-annotated dataset, benchmark, and reward model to improve temporal synchronization in audio-visual generation systems. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on audio-visual generation synchronization, not industrial inspection or defect detection.
VideoSlate: Stateful Commit Control for Temporally Grounded Agentic Video Reasoning The paper introduces a stateful commit-control framework with an evidence blackboard to manage revisions during agentic video reasoning. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on video question answering, not industrial defect inspection.
From Sound to Sense: An Anatomy of Semantic Supervision for Speech-Driven Visual Grounding in Remote Sensing Imagery The paper analyzes semantic supervision mechanisms in direct speech-to-box grounding models for remote sensing imagery. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on remote sensing target localization, not industrial defect detection.
Throwing4: Phase-Aware Pose Modeling for Throw-Distance Prediction in Elite Athletics The paper presents a phase-aware pose modeling framework and dataset to predict throw distances in elite athletic competitions from broadcast video. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on sports biomechanics, not industrial manufacturing defect detection.
Throwing4: Phase-Aware Pose Modeling for Throw-Distance Prediction in Elite Athletics The paper presents a phase-aware pose modeling framework and dataset to predict throw distances in elite athletic competitions from broadcast video. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on pose regression for athletics without multimodal vision-language interaction.
Recovering from Pose-Selection Failures in Repeated Visual Localization The paper proposes a history-guided pose reselection technique to correct visual localization errors caused by repetitive environmental structures. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotics visual localization, not industrial quality inspection.
Recovering from Pose-Selection Failures in Repeated Visual Localization The paper proposes a history-guided pose reselection technique to correct visual localization errors caused by repetitive environmental structures. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on visual odometry and localization without multimodal language integration.
Learning $ω$-Powered Conditional Distributions with Importance-Weighted Flow Matching The paper introduces an importance-weighted flow matching approach to explicitly learn powered conditional distributions without standard classifier-free guidance. Peer-reviewed	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on generative flow matching theory, not industrial inspection.
Learning $ω$-Powered Conditional Distributions with Importance-Weighted Flow Matching The paper introduces an importance-weighted flow matching approach to explicitly learn powered conditional distributions without standard classifier-free guidance. Peer-reviewed	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Not about AI safety, hallucination, or deployment guardrails.
Learning $ω$-Powered Conditional Distributions with Importance-Weighted Flow Matching The paper introduces an importance-weighted flow matching approach to explicitly learn powered conditional distributions without standard classifier-free guidance. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on flow matching sampling mathematics, not multimodal architectures.
Learning $ω$-Powered Conditional Distributions with Importance-Weighted Flow Matching The paper introduces an importance-weighted flow matching approach to explicitly learn powered conditional distributions without standard classifier-free guidance. Peer-reviewed	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Focuses on generative flow algorithms rather than LLM benchmarking.
Learning $ω$-Powered Conditional Distributions with Importance-Weighted Flow Matching The paper introduces an importance-weighted flow matching approach to explicitly learn powered conditional distributions without standard classifier-free guidance. Peer-reviewed	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Not focused on small models, distillation, or efficient inference.
Federated Coreset Subsampling for Distributed Memory Banks The paper proposes federated coreset subsampling strategies to enable distributed, privacy-preserving visual anomaly detection across multiple factory sites. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on federated visual anomaly detection without multimodal language integration.
Pixels or Code? Benchmarking Instruction-Guided Visual Artifact Operation The paper introduces a benchmark to evaluate direct edits, dependency updates, and visual preservation on technical diagrams, charts, and documents. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on visual artifact operation, not industrial defect inspection.
Tikhonov-Stabilized Bezier Representation Forecasting for Training-free Diffusion Acceleration The paper proposes a training-free framework that accelerates diffusion inference by forecasting intermediate representations using low-order Bezier trajectories. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on cache forecasting for diffusion acceleration without multimodal models.
Tikhonov-Stabilized Bezier Representation Forecasting for Training-free Diffusion Acceleration The paper proposes a training-free framework that accelerates diffusion inference by forecasting intermediate representations using low-order Bezier trajectories. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on accelerating diffusion models, not industrial defect detection.
Not Every Cue Is Evidence: Cue Supportability for Forensic Distillation in Face Forgery Detection The paper presents a dual supportability audit to filter ungrounded cues during forensic distillation for face forgery detection. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on distillation for face forgery detection rather than multimodal reasoning.

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