arXiv:2603.14023v2 Announce Type: replace
Abstract: This work introduces and demonstrates the first system capable of imaging fast-moving extended non-rigid objects through strong atmospheric turbulence at high frame rate. Event cameras are a novel se…
arXiv:2603.24770v1 Announce Type: new
Abstract: Dynamic scene reconstruction from casual videos has seen recent remarkable progress. Numerous approaches have attempted to overcome the ill-posedness of the task by distilling priors from 2D foundational…
arXiv:2602.20951v2 Announce Type: replace
Abstract: Despite recent advances in diffusion models, AI generated images still often contain visual artifacts that compromise realism. Although more thorough pre-training and bigger models might reduce artif…
arXiv:2603.24764v1 Announce Type: new
Abstract: Synthetic cardiac MRI (CMRI) generation has emerged as a promising strategy to overcome the scarcity of annotated medical imaging data. Recent advances in GANs, VAEs, diffusion probabilistic models, and …
arXiv:2512.19918v2 Announce Type: replace
Abstract: User interface to code (UI2Code) aims to generate executable code that can faithfully reconstruct a given input UI. Prior work focuses largely on web pages and mobile screens, leaving app widgets und…
arXiv:2603.24749v1 Announce Type: new
Abstract: Many real-world applications in digital forensics, urban monitoring, and environmental analysis require jointly reasoning about visual appearance, geolocation, and time. Beyond standard geo-localization …
arXiv:2511.18801v2 Announce Type: replace
Abstract: Existing autoregressive (AR) methods for generating artist-designed meshes struggle to balance global structural consistency with high-fidelity local details, and are susceptible to error accumulatio…
arXiv:2603.24733v1 Announce Type: new
Abstract: Quantifying human movement (kinematics) and musculoskeletal forces (kinetics) at scale, such as estimating quadriceps force during a sit-to-stand movement, could transform prediction, treatment, and moni…
arXiv:2505.23265v2 Announce Type: replace
Abstract: The performance of image generation has been significantly improved in recent years. However, the study of image screening is rare, and its performance with Multimodal Large Language Models (MLLMs) i…
arXiv:2603.24730v1 Announce Type: new
Abstract: The classic duck-rabbit illusion reveals that when visual evidence is ambiguous, the human brain must decide what it sees. But where exactly do human observers draw the line between ”duck” and ”rabbit…