Applied & Human-Centered · Computer Science & AI
Multimedia
The newest papers in Multimedia that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
192 papers, from 6 September 2026 to 5 November 2026: 192 arXiv preprints.
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Newest papers, page 6
Event-guided Neural Video Compression
Neural video codecs derive motion and temporal contexts mainly from RGB frames, leaving room for cross-modal guidance from complementary temporal observations.PrecipJEPA: JEPA-Regularized Future-State Prediction with Motion-Source Rendering for Precipitation Nowcasting
Long-term precipitation nowcasting requires modeling radar-echo evolution while preserving localized high-intensity structures.Breaking News Out of the Filter Bubble: Generative AI Search Diversifies Collective Attention and Raises Shared Information Consumption
Generative AI search and AI overviews are transforming access to information and news, renewing concerns that readers will encounter a narrower range of topics and have less in common.Beyond Text: LLM-Based Dimensional Emotion Evaluation in Multimodal Dialogue
Emotion recognition in conversation has been widely studied, but applying Large Language Models (LLMs) to continuous dimensional emotion evaluation in multimodal dialogue remains largely unexplored.Uncertainty-Aware Consistency Distillation for Few-Step Video Generation
We study few-step video generation, i.e., distilling a multi-step video generator, which typically requires tens of sampling steps, incurring substantial latency and compute, into a few-step student.ShieldCLIP: Selective Safety Alignment for Harmful Content Mitigation in Multimodal Foundation Models
Multimodal encoders such as CLIP underlie many downstream systems, but their web-scale training data embed harmful associations that safety alignment must suppress without unnecessarily changing…WARP: A Unified Benchmark for Invisible Image Watermarking -- Robustness and Protection Against Attacks
Digital image watermarking is increasingly critical in media contexts, as emerging regulations and industry practices require marking AI-generated content and ensuring traceable sources to prevent…MatLoom: Layered Text-to-Material Generation in a Compact Program Space
Material generation should produce not only an appearance, but also the rules that construct it.Diffusion Editing with Soft Mask: Pixel Level Redo of Image and Video with Adjustable Strength
Diffusion models with prompt and reference image-guided editing have seen rapid progress, yet they remain too coarse for pixel-level control.Frozen Scenes, Shifting Winners: Configuration Fragility in Text-to-3D Evaluation
Can a text-to-3D leaderboard change when every generated scene stays fixed?Soundwich: Video Generation with Layered and Controllable Audio
Recent joint audio-video generative models can synthesize realistic videos with synchronized sound, but typically generate audio as a single mixed track.Rethinking Multimodal Fake News Detection in the Generative AI Era
Generative content is increasingly entering the production and dissemination of news, transforming fake news from manually fabricated or simply manipulated material into complex forms in which…RAEGNet: Relation-Aware Evidence Graph Network for Harm-Aware Multimodal Fake News Detection
Existing multimodal fake news detection methods often introduce external information to assist detection.What Comes Next? Omni-StoryBench for Evaluating Story-Grounded Omnimodal Generation
Omnimodal evaluation should go beyond independent text, image, and speech production: individually plausible outputs may not express a coherent shared event.MG-Thinker: Bi-Axial Self-Reflection for Multi-Image Reasoning Grounding
Reinforcement learning (RL) has recently delivered substantial gains in multimodal reasoning, opening a promising route for fine-grained visual perception.SyncRA: Learning Temporal Correspondence in Omni-Modal Models
Recent omni-modal models demonstrate strong perception of audio and visual inputs, yet often struggle to connect what they hear with what they see at the same moment.Joint and Cross-Modal Video-Audio Generation and Editing: A Unified Formulation and Design Taxonomy
Video and audio are perceived together, yet most generative models treat them in isolation.JazzSAMBA: A Synchronous and Asynchronous Multi-take Band Audio Dataset of Jazz Standards for Live Music Models
Machine learning has made strong progress on music tasks, both as assistive tools and as creative partners.Timeline-Bench: Evaluating Agents on Realistic Video-Editing Tasks, from Raw Footage to Final Cut
AI agents increasingly carry out long-horizon professional work, but their evaluations rarely require a finished creative deliverable.Toward a Culturally Adapted Chinese Language Agent: A Wizard-of-Oz Study of Nonverbal Behavior in Chinese-German Intercultural Interaction
Successful intercultural communication requires more than grammatical competence.