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.

PaperTopicRelevanceFeedback
Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical Prognosis
Proposes PRISM, a multimodal clinical prognostic model combining patient records with retrieved population-level embedding memory banks.
Ranked #421Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Combines structured numerical clinical data, longitudinal ECG waveforms, and text representations in a multimodal framework.
MotionCoach: Constructing Multimodal Guidance for Video Professional Motion Editing
Proposes a multimodal agent providing grounded prompts and video clips to guide video editing models in professional sports motions.
Ranked #422Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Develops multimodal guidance combining text, video clips, and motion for video editing models.
Evolving Creatives with Clicks: CTR-Driven Advertising image Editing via Attribute Disentanglement and Preference Alignment
Proposes an advertising image editing method that identifies and selectively refines visual attributes driving click-through rates.
Ranked #423Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Combines text prompt tuning with visual attribute editing and multimodal preference optimization.
GeoGR: Spatial-Semantic Token Compression and Group Routing for Efficient 3D VLMs
Proposes spatial-semantic token compression and layer routing to accelerate 3D vision-language model inference across multi-view inputs.
Ranked #424Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Directly designs methods for processing multimodal 3D visual tokens in vision-language models.
Distilling Routed 3D Privilege for Spatial Reasoning in Vision-Language Models
Distills geometric privilege into vision-language models during training to improve spatial reasoning without inference overhead.
Ranked #425Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Improves 3D spatial reasoning capabilities in multimodal vision-language models.
DVD: Dynamic Vector Decoding for Efficient MLLM-based Perception
Introduces Dynamic Vector Decoding to efficiently map 2D and 3D perception coordinates into compact discrete tokens for multimodal LLMs.
Ranked #426Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Develops dynamic vector decoding for multimodal large language models processing 2D and 3D vision.
Syn-Omni: Structured Specialization and Progressive Collaboration for Omnimodal Embeddings
Proposes Syn-Omni, a framework combining modality-expert LoRA paths and progressive routing to balance shared and modality-specific omnimodal embeddings.
Ranked #427Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Designs specialized and collaborative embeddings across image, video, audio, and audiovisual modalities.
VibeEdit: Image Editing with Canvas Instructions
Presents VibeEdit, an image editor conditioned on spatial canvas annotations to perform targeted object additions, modifications, or removals.
Ranked #428Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Aligns multimodal image editing with spatial canvas annotations and text instructions.
AuraLuxMuse: Adaptive Fusion Modeling for Aesthetic Stage Lighting Design with Music and Expert Guidance
Presents a system combining representation learning and music alignment to generate editable aesthetic stage lighting cues for live performances.
Ranked #429Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Aligns musical audio with visual stage lighting cues across multiple modalities.
Exploring Attention Sinks in Text-to-Image Transformers from Diffusion and Autoregressive Models
Analyzes the emergence and behavior of attention sinks in text-to-image diffusion and autoregressive Transformers.
Ranked #430Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Analyzes cross-modal attention mechanisms and representations in text-to-image models.
CliQ-RRG: Clinical-Knowledge Guided Disease-aware Visual-Textual Alignment for QA-Style Radiology Report Generation
Presents a two-stage visual-textual alignment and retrieval-augmented framework for generating structured radiology reports from medical scans.
Ranked #431Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Aligns chest X-ray images with text for vision-language document generation.
Splat2Act: From Captured Scenes to Personalized VLA Manipulation
Builds an automated real-to-sim-to-real framework using 3D Gaussian Splatting to adapt robot manipulation policies to specific rooms.
Ranked #432Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Adapts pretrained vision-language-action models to scene manipulation tasks using visual inputs.
MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement
The report presents an omni-modal model family trained by scaling reinforcement learning throughput, environments, and agentic reward compute.
Ranked #433Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Trains an omni-modal foundation model across multimodal corpora and visual environments.
From Sparse Representations to Behavioral Insights for Multimodal Depression Assessment
The paper proposes a sparse factor framework to map multimodal behavioral data to interpretable concepts for depression assessment.
Ranked #434Preprint0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Analyzes multimodal behavioral video and text patterns for clinical assessment.
VoTSpeech: Decoupling Voice Design from Speech Generation in Instruction-Following TTS
This paper presents an instruction-following text-to-speech model that separates voice design from speech generation using an intermediate voice latent.
Ranked #435Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Develops instruction-following models spanning text and speech modalities.
LayerCanvas: Infographic Generation in AI Learning Assistants via Hybrid Layer-Set Diffusion
This paper presents a hybrid layer-set diffusion framework for generating editable and visually rich educational infographics.
Ranked #436Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Combines SVG structural typography with diffusion for multimodal infographic generation.
VAttnPO: Visual Attention-Guided Policy Optimization
The paper proposes VAttnPO, using teacher visual attention to refine token-level policy optimization for multimodal reinforcement learning.
Ranked #437Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Refines token-level visual attention credit in vision-language models via reinforcement learning.
RSIgen: Reciprocal Self-Improvement for Agentic Visual Generation
The paper introduces a reciprocal self-improvement framework to balance agent understanding and image generation roles within multimodal models.
Ranked #438Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Investigates reciprocal self-improvement for unified multimodal generation and understanding.
Hallucination-aware Faithful Reasoning in Remote Sensing
Presents FaithRS, a self-reflection framework with a fine-grained dataset to detect and correct reasoning hallucinations in remote sensing models.
Ranked #439Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Addresses visual hallucination reduction and faithful reasoning in multimodal large language models.
Omni-RS: Unifying Multi-Task Understanding and Generation in Remote Sensing
Presents Omni-RS, a unified framework and dataset supporting multiple remote sensing image understanding and generation tasks.
Ranked #440Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Proposes a unified multimodal model integrating remote sensing visual understanding and image generation.
Dog-Breed Text-to-image Flow Matching from Pretraining to Fine-Tuning on 4 Consumer GPUs
This paper presents a framework to pretrain and fine-tune text-to-image diffusion transformers using four consumer GPUs.
Ranked #441Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Explores efficient text-to-image multimodal diffusion transformers.
DuplexBridge: Coordinating Understanding and Generation for Unified Image Editing
This paper proposes an image editing framework that coordinates prompt understanding and image generation within a single unified model.
Ranked #442Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Proposes a unified multimodal architecture coordinating text-guided visual understanding and image editing.
Hierarchical Curriculum Learning for Surgical Video Generation: Focusing on Bilateral Axillo-Breast Approach Robotic Thyroidectomy Datasets
Adapts text-to-video diffusion models for surgical procedure simulation using hierarchical procedural decomposition and progressive curriculum learning.
Ranked #443Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Applies text-to-video diffusion models and curriculum learning to generate multimodal procedural surgical videos.
Deficit-Driven Stratified Acquisition for Building STRATA-S12: An Open SAR-Optical Corpus for Self-Supervised Learning
Introduces a deficit-driven stratified acquisition algorithm to create a balanced, co-registered satellite imagery corpus for self-supervised Earth observation.
Ranked #444Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Addresses data acquisition strategies for building paired SAR and optical multimodal datasets for self-supervised learning.
Edit4D: Editable 4D Scene Generation with Textual Control
Introduces a text-to-4D generation method that separates static backgrounds and dynamic characters to allow modular editing and camera control.
Ranked #445Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:18
On-topic
Develops text-guided dynamic 4D scene generation combining text, 3D representations, and video priors.
FrameLite: Decision-Oriented Aesthetic Cropping with a Compact Vision-Language Model
Proposes a lightweight aesthetic cropping model built on a small vision-language model using multi-stage candidate optimization.
Ranked #446Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Uses a compact vision-language model for image composition and cropping.
Multimodal Fusion of RGB and Complementary Modalities for Semantic Segmentation
This paper proposes a bidirectional polarity-aware cross-modality fusion module to improve multimodal semantic segmentation across diverse complementary sensor streams.
Ranked #447Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Develops a cross-modality fusion framework for combining RGB with complementary modalities like LiDAR, depth, and thermal.
WIRE: Weight Space Implicit Representation Encoding of Frozen Video LLMs
WIRE reduces video LLM inference costs by moving video computations from input tokens into temporary low-rank weight updates.
Ranked #448Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Optimizes video language models by encoding visual representation into model weights.
Learning Multimodal Sensor Fusion with JEPA Representations for Breathing Activity and Pose Recognition
The paper explores transferring frozen video representations across heterogeneous sensor subsets to classify breathing activity and pose.
Ranked #449Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Studies multimodal fusion across video, depth, and radar sensor inputs.
DDVR-Net: Degradation-Aware Decoupling and Visibility-Guided Restoration for Historical Document Recognition
DDVR-Net decouples glyph structures from physical damage and uses visibility-guided restoration for historical document OCR.
Ranked #450Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Presents a framework combining visual degradation restoration with language modeling for document understanding.
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.
Ranked #451Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Transfers and aligns 2D semantic priors into 3D geometric representations for scene understanding.
PIGEONS: Incremental Long-Video Captioning with Persistent Identity Gallery and Evolving Overarching Narrative Summary
Develops an incremental long-video captioning method using a persistent identity gallery and evolving narrative summary.
Ranked #452Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Develops a multimodal video captioning framework using identity galleries and narrative summaries.
EviStress: Evidence Stress Learning for Generalizable Face Forgery Detection with Textual Explanations
The paper introduces a framework combining targeted patch perturbation with textual explanations to improve face forgery detection generalization.
Ranked #453Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Proposes a framework for face forgery detection with multimodal textual explanations.
ViewStruct: View-Grounded Articulation and Connectivity Inference
The paper proposes a vision-language framework to predict rigid-body connectivity and articulation parameters of objects from single views.
Ranked #454Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Adapts vision-language models to perform multimodal reasoning over visual scenes and object connectivity.
PathPilot: An Adaptive Question-Conditioned Multi-Magnification Navigation Agent for Whole-Slide Image Analysis
The paper proposes an adaptive whole-slide image navigation agent that models cross-magnification localization for pathology diagnosis.
Ranked #455Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Presents an adaptive question-conditioned multimodal navigation agent for complex medical image analysis.
Revisiting Natural Language Prompts from Large Language Models for Open-Vocabulary Video Recognition
The paper presents a framework exploring category, video, and frame prompts to enhance vision-language models for open-vocabulary video recognition.
Ranked #456Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Improves vision-text alignment in multimodal vision-language models for video recognition.
Code-Interactive Visual Reasoning for Financial Candlestick Understanding
The paper introduces a model and dataset for financial candlestick reasoning by generating and executing code to gather visual evidence.
Ranked #457Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Develops vision-language reasoning combining document understanding of financial charts with code execution.
MiMaAlign: Hierarchical Micro-Macro Alignment for Physically Plausible Video Generation
The paper proposes a hierarchical alignment method that transfers continuous dynamics and high-level event knowledge into video diffusion models.
Ranked #458Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Aligns text-to-video diffusion models using vision-language model event semantics.
GHOST: Geometry-Constrained Hybrid Diffusion for Open-Vocabulary 3D Scene Graph Generation
The paper proposes a hybrid diffusion method that enforces geometric constraints to generate open-vocabulary 3D scene graphs from point clouds.
Ranked #459Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Connects open-vocabulary language embeddings with 3D spatial geometry in scene graph generation.
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.
Ranked #460Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Investigates audio-visual multimodal grounding aligning speech features with satellite imagery.
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.
Ranked #461Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Uses vision-language and Q-Former models to select visual evidence for language generation.
UMAS3D: Unified Mask-Free 3D Editing with Region-Adaptive Source Preservation
The paper proposes a training-free 3D editing framework that estimates edit regions without masks to preserve unedited source geometry and appearance.
Ranked #462Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Presents a multimodal 3D asset editing framework conditioned on text, boxes, and images.
Structured Stateful Relational Scripts with a High-Quality Dataset for Multi-Shot Audio-Visual Video Generation
The paper introduces structured stateful relational scripts and a paired dataset to coordinate persistent identities and audio events in multi-shot video generation.
Ranked #463Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Introduces representation and dataset for coordinated multimodal audio-visual video generation.
OmniRSI: Taming Latent Diffusion for Unified Multimodal Remote Sensing Image Generation
The paper proposes a unified latent diffusion architecture with a custom variational autoencoder for multimodal remote sensing image generation.
Ranked #464Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Presents a unified multimodal generative model conditioning on text and heterogeneous visual inputs.
Reference-Efficient Multimodal Bitstream-Corrupted Video Recovery via Depth-Conditioned Adaptation
This paper presents a depth-conditioned video recovery framework that selects a single reliable RGB reference to restore damaged video bitstreams efficiently.
Ranked #465Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Combines RGB appearance and depth geometry to reconstruct corrupted video sequences.
SlotAVS: Object-Centric Audio-Visual Segmentation via Bi-Modal Slot Attention
This paper introduces a competitive bi-modal slot attention method to cleanly segment distinct sounding objects in multi-source audio-visual scenes.
Ranked #466Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Proposes an object-centric model binding audio and visual signals for segmentation.
Sparse All-Layer Connector for Domain Generalised Semantic Segmentation
This paper introduces a sparse connector allowing cross-layer feature sharing across different foundation models for domain-generalized semantic segmentation.
Ranked #467Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Fuses representations from vision-language and vision foundation models across layers.
CatPortrait: Taming Video Generative Models for Portrait Animation via In-context Conditioning
The paper presents a framework that uses structured 3D facial guidance as in-context input conditioning for controllable portrait video animation.
Ranked #468Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Animates portraits using video and audio conditioning modalities.
Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations
The paper presents a parameter-efficient architecture connecting text embeddings with mask decoding for language-guided medical image segmentation.
Ranked #469Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Grounds natural language text prompts into medical image segmentation.
[Re] Boosting the Visual Interpretability of CLIP via Adversarial Fine-Tuning
The paper presents a reproducibility study and an explicit saliency supervision extension for adversarial fine-tuning of CLIP vision models.
Ranked #470Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Focuses on visual interpretability and concept alignment in vision-language CLIP models.
Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data
This paper studies transformer architectural choices for handling missing modalities and longitudinal observations in multimodal healthcare datasets.
Ranked #471Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Studies multimodal transformer architectures and fusion strategies across heterogeneous clinical data types.
Axiom-0: Hierarchical Self-Refinement for Vision-Language-Action Policies
This paper introduces a vision-language-action policy using hierarchical self-refinement across internal representations and action interfaces.
Ranked #472Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Develops a vision-language-action policy using hierarchical refinement across multimodal representations.
CAST-ASD: Causal Attention over Speakers and Time for Online Active Speaker Detection
Proposes a causal joint attention model across faces and time for low-latency active speaker detection in multi-person video.
Ranked #473Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Multimodal audio-visual speaker detection combining visual face tracking with temporal attention.
SPARE: Shared Perception and Adaptive Retrieval of Evidence for Streaming Video Understanding
Presents an adaptive retrieval framework that selectively retrieves historical video context to assist streaming question answering.
Ranked #474Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Multimodal video understanding and question answering combining visual encoding and language models.
From Sampled Evidence to Radiology Reports: Objectives, Constraints, and Realization
The paper evaluates how objective functions and candidate constraints affect decision conversion when generating radiology reports from sampled evidence.
Ranked #475Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Studies generating radiology reports from multimodal evidence using vision-language models like Qwen-VL.
DualAffect: Dual-Path Paralinguistic Integration for Generative Audiovisual Emotion Understanding
Develops a dual-path architecture combining visual and acoustic signals to improve multimodal emotion recognition.
Ranked #476Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Presents a multimodal architecture integrating audiovisual features with language decoding for emotion understanding.
SIMPLE: Semantic Structure-Aligned Prompt Learning for Open-Vocabulary Audio-Visual Event Localization
Aligns prompt semantic structures across audio and visual data to identify unseen multimodal events.
Ranked #477Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Focuses on prompt learning across asynchronous audio and visual streams for multimodal event localization.
PAG-Agent: Zero-Shot Personalized Music Album Generation via Aesthetic Profile Distillation
Distills user aesthetic profiles to guide multimodal music models in generating personalized albums.
Ranked #478Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Uses multimodal LLMs and user aesthetic profile distillation for personalized audio generation.
SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction
This paper proposes a multimodal variational autoencoder framework that separates task-relevant information to improve clinical predictions even with missing modalities.
Ranked #479Peer-reviewed0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Develops a multimodal variational autoencoder framework combining imaging and RNA data.
PolUR: Polarization Aware Multimodal Degradation Perception for Underwater Image Restoration
This paper introduces a multimodal language-driven framework combining polarization and RGB cues to identify degradations and restore underwater images.
Ranked #480Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Integrates multimodal language-driven instructions with polarization and RGB image restoration.
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