Every paper checked — nothing hidden

All papers

Every paper checked in the week of 12–18 Oct 2026 · Multimodal models — nothing is hidden. Brief papers first.

All1,924 In brief3 More (on-topic)553 Not relevant1,333 Not assessed19 Older33 Could not confirm19 Blogs with no paper11 All blogs13

Paper	Topic	Relevance
Quantifying privacy risks in foundation model representations of brain MRI Evaluates patient linkage and attribute inference risks present in brain magnetic resonance imaging representations generated by pretrained foundation models. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on brain MRI encoders, not multimodal VLMs.
VascuSR: Iterative Anatomy-Aware Diffusion for CT Super-Resolution Uses explicit three-dimensional vascular guidance in an iterative diffusion pipeline to improve anatomical accuracy in computed tomography super-resolution. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Medical image reconstruction, not multimodal vision-language models.
VASPO: Self-Distillation with Privileged Value Estimation Combines privileged teacher signals with value estimation in policy optimization to provide denser token-level supervision for reasoning tasks. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses exclusively on text-based mathematical reasoning.
PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios Introduces a benchmark based on real online discussions to evaluate both cognitive and behavioral persuasion skills in language models. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Evaluates text-based dialogue, not multimodal models.
Scaling Discovery Requires Forgetting Shows that periodically clearing agent search history and restarting from the top candidate prevents automated research agents from plateauing. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Does not involve multimodal data or models.
One Task, Many Interfaces: Simple Cross-Interface Consistency Training Improves LLM Agent Robustness Introduces a self-supervised consistency loss across varied tool interfaces to make language model agents robust against notation and naming changes. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Does not involve multimodal inputs like vision or audio.
DECOMOE: DECOUPLING VISUAL PROPAGATION AND ... Summary pending (next check). Could not confirmPreprint	Multimodal models via openreview · 15 Oct, 06:19	Waiting for check
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation This paper proposes a discrete diffusion model for controllable visual layout generation under structural element constraints. Peer-reviewedOlder paper (2023) Older paper (2023) — discussed this week	Multimodal models via ieee · 15 Oct, 06:19	Not relevant Generates layout bounding boxes rather than multimodal reasoning across vision and text.
Pristine Models The paper introduces an architecture that separates safe and unsafe visual knowledge during pretraining so unsafe branches can be disabled. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on safe concept separation in image generation pretraining.
JSIR: An Audio-Aligned, Multi-Task Dataset of Jazz Standard Recordings This paper introduces an annotated audio dataset of jazz recordings for beat tracking, chord estimation, and music structure analysis. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Audio-only music dataset, not multimodal vision-language model research.
Tackling the Modality Inhibitance Effect with Wavelet-based Modality Integration in Multi-modal Recommendation The paper introduces a wavelet-based integration method to resolve performance degradation caused by feature redundancy in trimodal recommender systems. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with recommender feature fusion, not general multimodal models like vision-language foundation models.
Human Pose Estimation by Probabilistic Mixtures of Gaussian and Uniform Distributions The paper proposes a continuous probabilistic Gaussian mixture framework to improve human pose estimation under dense occlusions without retraining models. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with computer vision pose heatmaps, not multimodal text-image foundation models.
RePrior: Measurement-Reconciled Prior Correction for Sparse-View CBCT Reconstruction The paper introduces a multi-stage framework that corrects learned priors using X-ray measurements for sparse-view computed tomography reconstruction. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Addresses 3D CT volumetric reconstruction, not multimodal vision-language models or cross-modal reasoning.
Temporal Diffusion Bridge Model for Vessel Extraction Using Physics-informed Synthetic Data The paper presents a temporal diffusion bridge model trained on physics-based synthetic data to extract coronary arteries from angiograms without manual labels. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on medical X-ray image translation, not multimodal models.
Neural Block-wise Auto-exposure for Single-Shot High Dynamic Range Imaging The paper proposes a neural block-wise auto-exposure method for single-shot high dynamic range imaging to reduce visual artifacts. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on camera hardware auto-exposure algorithms, not multimodal models.
Exploring the Latent Structure of AMD Severity Using Retinal Foundation Models The paper examines how retinal foundation model embeddings represent macular degeneration severity and how that latent structure affects downstream prediction. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Analyzes retinal foundation model embeddings, not general multimodal models.
Frozen Site-Probe Accuracy Is Not a Standalone Harmonization Score: An Audit of Evaluation Practice for Multi-Site MRI The paper audits frozen site-probe evaluation for multi-site brain MRI harmonization and finds probe accuracy is an unreliable standalone metric. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on medical brain MRI site harmonization, not multimodal models.
C$^2$LUE: Clinically Aligned Patient-Level Ultrasound Diagnosis via Evidence-Aware Multi-Instance Learning This paper proposes a multi-instance learning model with risk-aligned regularization for patient-level ultrasound diagnostic classification. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on medical multi-instance learning for ultrasound, not multimodal models.
TrajCFG: Token-Wise Classifier-Free Guidance via Denoising Trajectory Feedback This paper introduces a training-free method adjusting token-wise guidance scales based on velocity trajectory directional changes in generative models. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on sampling algorithms for generative diffusion across modalities.
Disentangling Task-Relevant Latent Dynamics for Reward Modeling This paper proposes a latent dynamics model to learn dense robotic manipulation rewards from videos without confounding visual distractors. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on reinforcement learning reward modeling from video, not multimodal models.
Semantic Edge-Cloud Communication for Real-Time Urban Traffic Digital Twins This paper presents a semantic edge-to-cloud communication method to reduce transmission bandwidth for real-time urban traffic digital twins. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on edge-cloud network communications, not multimodal model architectures.
ClothCode: Generative Modeling for Garment State Estimation and Dynamics Prediction This paper presents a discrete generative transformer framework for garment state estimation and dynamics prediction in robotic manipulation. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on garment state estimation and dynamics, not multimodal models.
SliderEdit++: Improved Slider Trajectories in Instruction-Based Image Editing This paper introduces a benchmark and a trajectory regularization method for continuous, fine-grained control in instruction-based image editing. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on image editing trajectory regularization, not multimodal reasoning.
Image Diffusion Models Are Good 3D Human Motion Generators This paper adapts image diffusion transformers to generate 3D human motion from text using joint-time representations. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D skeletal motion diffusion from text, not multimodal reasoning.
BigCell: Generating Gigapixel Whole-Slide Images This paper presents a flow-matching transformer pipeline to generate full gigapixel histopathology whole-slide images. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on generative vision transformers for pathology, not multimodal interaction.
TGSR: Text-Grounded Diffusion for Faithful Image Super-Resolution This paper presents a test-time diffusion method that suppresses text hallucinations during image super-resolution by selectively generating text. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Addresses diffusion image super-resolution, not multimodal reasoning or vision-language models.
Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques This paper develops an immersion-based recurrent network approach for trajectory tracking and navigation on curved geometric manifolds. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on recurrent models on geometric manifolds, not multimodal vision-language.
Real-Time Traffic Density Estimation: A Hybrid Computer Vision and Predictive Machine Learning Pipeline This paper benchmarks a pipeline combining real-time object detection with recurrent neural networks to forecast short-term traffic density. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with vehicle detection and time-series estimation without multimodal models.
Learning Transferable World-Action Models from Task-Paired Human Videos This paper proposes pretraining world-action models by predicting future actions and frames across paired human demonstration videos. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on visual world-action models for robotics, not multimodal vision-language models.
FreeCHROMA: Generative Chroma Keying from Unaligned Background References This paper introduces a parameter-efficient diffusion method to composite video foregrounds into unaligned background reference scenes. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on video background compositing and generation, not multimodal models.
Multi-modal Representation Fusion for Long-term Microsurgical Anastomosis Trajectory Anticipation This paper proposes a cross-modal representation fusion method to predict long-term tool trajectories during microsurgical anastomosis procedures. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Fuses surgical video and motion trajectories, not multimodal vision-language models.
DSR-Net: Learning Dynamic Skeletal Relations for 3D Human Pose Estimation This paper proposes a framework that learns dynamic skeletal joint relationships and temporal interactions for 3D human pose estimation. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D skeletal pose estimation from vision, not multimodal models.
Spatiotemporal Recognition of Abdominal Wall Layers During Optical Trocar Entry This paper evaluates spatial and temporal modeling methods to improve multi-class tissue recognition during surgical optical trocar insertion. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Applies spatiotemporal computer vision to medical videos, not multimodal models.
We Have Been Interpreting Diffusion Transformer Backbone Behaviors Wrong This paper analyzes intermediate layer activations in diffusion transformer backbones to explain why layer performance follows an inverted-U curve. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Analyzes internal layer representations of diffusion vision models, not multimodal models.
InfraWorld: Motion-Aware World Modeling for Roadside 4D Occupancy Forecasting Proposes a world model combining dense bird's-eye-view representations and motion queries for roadside dynamic occupancy forecasting. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with 3D/4D spatial occupancy forecasting, not multimodal vision-language models.
Adversarial Gradient Forcing for Robust Few-Step Autoregressive Video Generation Introduces an adversarial training method to make few-step autoregressive video models robust against accumulated rollout errors. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with generative video modeling, not multimodal models.
FrameFold: Response-Guided KV Cache Consolidation for Autoregressive Long Video Generation Proposes a training-free KV cache consolidation technique guided by historical queries to manage memory in long video generation. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses purely on video generation KV cache optimization, not cross-modal understanding.
Remembering What Matters for Long-Horizon Robotic World Models Develops a context-scheduling method that preserves anchor frames and evicts stale history in long-horizon robotic world models. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic video world models and context scheduling, not multimodal reasoning.
ToF-Wheel Odometry: Navigating Degeneration of Localization With Limited Sensing Capabilities Combines wheel kinematics with Time-of-Flight camera geometry using directional covariance shaping to prevent odometry divergence. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Addresses robot state estimation from wheel odometry and ToF sensors, not multimodal models.
DuSRFlow: Dual-Lens Super-Resolution via Parallax-Aware Flow Estimation and Complementary Reference Warping Develops a dedicated flow estimator and reference warping method for dual-lens super-resolution under large parallax conditions. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses purely on dual-lens image super-resolution, not multimodal models.
Automatic assembly modeling through attention-based assembly feature mate prediction and assembly feature pattern recognition Presents an attention-based assembly feature mate prediction model to automate CAD assembly modeling from unassembled boundary representation parts. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with 3D CAD B-Rep geometry, not multimodal vision-language models.
Can Synthetic UAV Benchmarks Be Trusted? Real-Synthetic Validation for UAV Model Selection Investigates whether synthetic aerial imagery benchmarks preserve model-selection rankings compared to evaluations on real drone data. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant UAV aerial perception validation, not multimodal foundation model research.
TGuide: Faster Autoregressive Video Diffusion via Historical Trajectory Guidance Accelerates few-step autoregressive video diffusion by predicting features from historical sampling trajectories across video chunks. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Video diffusion sampling acceleration, not multimodal models.
TETRIS-4DGS: Efficient Post-Training Compression of 4D Gaussian Splatting Introduces an adaptive quantization and packing framework to compress 4D Gaussian Splatting dynamic scenes using standard video codecs. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Dynamic scene rendering representation, not multimodal reasoning.
Competition Domains Matter: Selective Head Globalization for Training-Free Sparse Attention in Video Diffusion Transformers Develops a training-free sparse attention routing method that adapts competition domains across attention heads in video diffusion transformers. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Attention optimization for video generation, not multimodal model reasoning.
Demiurge: Forging Navigable 4D Worlds via Autoregressive Video Rerendering Presents an autoregressive video rerendering pipeline using a dynamic 4D point-cloud memory cache for novel-view video synthesis. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Video generation and rerendering, not multimodal foundation models.
PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training Refines feed-forward 3D reconstruction models on dynamic video through unlabeled post-training using relative depth constraints and 2D priors. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Computer vision 3D reconstruction from video, not multimodal reasoning.
LightVAE: Towards Compact and Efficient Video Autoencoders Proposes a video autoencoder compression framework that uses temporal low-rank approximation to reduce computation in latent video diffusion. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Pure video autoencoder architecture, not multimodal vision-language learning.
Align-VAE: Aligning Attention and Geometry in VecSet VAEs for 3D Reconstruction Introduces modifications to set-based variational autoencoders to improve geometric alignment and attention quality in 3D shape reconstruction. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant 3D shape latent representation learning, not cross-modal understanding.
Japanese Handwriting Generation Based on Human Preference Feedback Using Direct Preference Optimization Applies Direct Preference Optimization to align generative models with human handwriting preferences and capture natural shape variability. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Image generation of handwriting styles, not multimodal vision-language understanding.
Towards Privacy-Preserving Thermal Human Perception from Dataset to Deployment The paper presents an indoor paired thermal and RGB dataset and benchmarks for privacy-preserving human occupancy detection. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Paired RGB-thermal vision perception, not general multimodal reasoning or VLMs.
CAST: Real-Time Motion Capture for Any Skeleton Topology The paper proposes a motion capture framework that predicts and aligns joint rotations across arbitrary target skeleton topologies from monocular video. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Single-modality 3D pose and motion capture from monocular video.
ScalLoc: Continuous Oblique Thermal UAV Geo-Localization with a 2D Satellite Map The paper introduces a framework for continuous oblique thermal drone geo-localization using 2D satellite maps in navigation-denied settings. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Thermal-to-satellite geo-localization, not general vision-language or multimodal models.
MORE: Learning Motion-Oriented Registers for Driving World Models and Planning The paper proposes learning motion-oriented register tokens during video pretraining to provide compact state representations for driving world models. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Autonomous driving representation learning, not general multimodal models across modalities.
Scalable Multi-Human Cooperative Manipulation via Commander-Executor Coordination The paper introduces a hierarchical commander-executor framework to coordinate multi-agent cooperative object manipulation tasks in physics simulations. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Humanoid robotics control and planning, not multimodal foundation models.
Engram Neuron Inspired Adaptive Memorization for Lifelong Learning The paper proposes an engram-neuron-inspired memory framework using gradient representations to regulate updates in lifelong learning. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on general lifelong learning algorithms, not multimodal modeling.
DSM-Free UAV Visual Localization via Latent-Depth Variable Projection and Structure-Adaptive Coupling The paper proposes an analytical projection method for drone visual localization over 2D maps without digital surface models. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Presents geometric localization for UAVs, not multimodal models.
AD-GS: Anatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction The paper proposes an anatomical density-guided 3D Gaussian splatting method for sparse-view dental computed tomography reconstruction. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Medical 3D reconstruction method, not a multimodal reasoning model.
Retraining-Free Depth Pruning of Vision Transformers: A Cross Domain Study of Layer Redundancy The paper evaluates layer input-output cosine similarity to prune redundant layers in vision transformers without retraining. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on pruning unimodal vision transformers, not multimodal models.
CowCare: A Unified Visual Framework for Viewpoint-Robust Cattle Tracking and Spatiotemporal Heat-Stress Analysis The paper presents a visual tracking and analysis framework for multi-camera cattle monitoring and heat-stress detection. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with video-based tracking, not multimodal language-vision models.

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