by America Ortiz | Oct 7, 2025 | Video Processing, Visual Computing
Leveraging Diffusion Models for Stylization using Multiple Style Images In this work, we propose leveraging multiple style images which helps better represent style features and prevent content leaking from the style images. We design a method that leverages both...
by America Ortiz | Sep 29, 2025 | Video Processing, Visual Computing
ReBaIR: Reference-Based Image Restoration In this work, we propose a novel and generic reference-based restoration method that is applicable to any model and any task. We start with the observation that restoration models typically operate in feature space before a...
by America Ortiz | Jul 21, 2025 | Capture, Machine Learning, VFX
Synth2Track Editor for Efficient Match-Animation In this work, we developed new tools that significantly reduces the time required for complex shots, combining automation with human expertise to overcome the limitations of current markerless motion capture systems....
by America Ortiz | Jul 17, 2025 | Video Processing, Visual Computing
Controllable Tracking-Based Video Frame Interpolation In this work, we address the less explored problem of user-assisted frame interpolation to improve quality and enable control over the appearance and motion of interpolated frames. To this end, we introduce a...
by America Ortiz | Jul 16, 2025 | Video Processing, Visual Computing
High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion In this paper, we propose an aligned synthesis strategy for precise control of target viewpoints and geometry-consistent view synthesis. To mitigate texture hallucination, we design a texture bridge...
