· ai
[Paper] PPTArena: A Benchmark for Agentic PowerPoint Editing
We introduce PPTArena, a benchmark for PowerPoint editing that measures reliable modifications to real slides under natural-language instructions. In contrast t...
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- · ai
[Paper] MultiShotMaster: A Controllable Multi-Shot Video Generation Framework
Current video generation techniques excel at single-shot clips but struggle to produce narrative multi-shot videos, which require flexible shot arrangement, coh...
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[Paper] Video4Spatial: Towards Visuospatial Intelligence with Context-Guided Video Generation
We investigate whether video generative models can exhibit visuospatial intelligence, a capability central to human cognition, using only visual data. To this e...
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[Paper] ViSAudio: End-to-End Video-Driven Binaural Spatial Audio Generation
Despite progress in video-to-audio generation, the field focuses predominantly on mono output, lacking spatial immersion. Existing binaural approaches remain co...
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[Paper] MAViD: A Multimodal Framework for Audio-Visual Dialogue Understanding and Generation
We propose MAViD, a novel Multimodal framework for Audio-Visual Dialogue understanding and generation. Existing approaches primarily focus on non-interactive sy...
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[Paper] SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control
Data-driven motion priors that can guide agents toward producing naturalistic behaviors play a pivotal role in creating life-like virtual characters. Adversaria...
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[Paper] Unrolled Networks are Conditional Probability Flows in MRI Reconstruction
Magnetic Resonance Imaging (MRI) offers excellent soft-tissue contrast without ionizing radiation, but its long acquisition time limits clinical utility. Recent...
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[Paper] In-Context Sync-LoRA for Portrait Video Editing
Editing portrait videos is a challenging task that requires flexible yet precise control over a wide range of modifications, such as appearance changes, express...
- · ai
[Paper] U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
Modeling dynamic 3D environments from LiDAR sequences is central to building reliable 4D worlds for autonomous driving and embodied AI. Existing generative fram...
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[Paper] InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent Collaboration
Hallucination remains a critical challenge in large language models (LLMs), hindering the development of reliable multimodal LLMs (MLLMs). Existing solutions of...
- · ai
[Paper] Contextual Image Attack: How Visual Context Exposes Multimodal Safety Vulnerabilities
While Multimodal Large Language Models (MLLMs) show remarkable capabilities, their safety alignments are susceptible to jailbreak attacks. Existing attack metho...
- · ai
[Paper] BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection
Integrating LiDAR and camera information in the bird's eye view (BEV) representation has demonstrated its effectiveness in 3D object detection. However, because...