6 papers
SemanticSlider3D: Training-Free Continuous Semantic Editing for 3D Objects
Ru Wang, Rahul Jain, Koichiro Niinuma +1
Fine-grained control over continuous semantic attributes of 3D objects is essential for 3D content creation, but is not well supported by conventional 3D modeling workflows or prom…
Ultra-fast Traffic Nowcasting and Control via Differentiable Agent-based Simulation
Fumiyasu Makinoshima, Yuya Yamaguchi, Eigo Segawa +2
Traffic digital twins, which inform policymakers of effective interventions based on large-scale, high-fidelity computational models calibrated to real-world traffic, hold promise…
Scalable Dynamic Origin-Destination Demand Estimation Enhanced by High-Resolution Satellite Imagery Data
Jiachao Liu, Pablo Guarda, Koichiro Niinuma +1
This study presents a novel integrated framework for dynamic origin-destination demand estimation (DODE) in multi-class mesoscopic network models, incorporating high-resolution sat…
Map2Video: Street View Imagery Driven AI Video Generation
Hye-Young Jo, Mose Sakashita, Aditi Mishra +3
AI video generation has lowered barriers to video creation, but current tools still struggle with inconsistency. Filmmakers often find that clips fail to match characters and backg…
Gaussian Splatting Lucas-Kanade
Liuyue Xie, Joel Julin, Koichiro Niinuma +1
Gaussian Splatting and its dynamic extensions are effective for reconstructing 3D scenes from 2D images when there is significant camera movement to facilitate motion parallax and…
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
Rohan Choudhury, Guanglei Zhu, Sihan Liu +3
Transformers are slow to train on videos due to extremely large numbers of input tokens, even though many video tokens are repeated over time. Existing methods to remove such uninf…