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Dániel Baráth

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Preprint Sep 2026

SplashSplat: Reconstructing Splashing Liquids from Real-World Multi-View Videos

This work introduces a benchmark of 20 real scenes, from coherent streams to violent splashes, captured by seven synchronized, calibrated 4K cameras at 60 fps, with manually refined per-view liquid and container masks and fixed evaluation splits, and presents SplashSplat, built on a single principle: impose physical st...

Pei-Yu Liu, Ding-Xi Zhang, Federico Tombari et al. · 0 citations
#computer vision Preprint Sep 2026

Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering

Reasoning about the 3D world from multi-view images remains a fundamental challenge for Multimodal Large Language Models (MLLMs). While modern MLLMs handle single-image inputs effectively, they struggle to integrate evidence across viewpoints into a coherent 3D understanding. A growing body of work attempts to close th...

Jaewoo Jung, Hyeonseo Yu, Honggyu An et al. · 0 citations
Preprint Aug 2026

GenRec: Knowing Where to Reconstruct and Where to Generate

GenRec is introduced, a multi-view flow matching model that builds the reconstruction--generation split directly into its architecture, supervision, and gradient flow, and attains the best reconstruction fidelity in observed regions while also surpassing purely generative baselines on perceptual quality in unobserved o...

Ata Çelen, Jaewoo Jung, Federico Tombari et al. · 0 citations

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