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Monocular Facial Appearance Capture in the Wild

Monocular Facial Appearance Capture in the Wild

by America Ortiz | Oct 16, 2025 | Capture, VFX, Visual Computing

Monocular Facial Appearance Capture in the Wild In this work, we present a new method for reconstructing the appearance properties of human faces from a lightweight capture procedure in an unconstrained environment. October 16, 2025International Conference on Computer...
Leveraging Diffusion Models for Stylization using Multiple Style Images

Leveraging Diffusion Models for Stylization using Multiple Style Images

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...
ReBaIR: Reference-Based Image Restoration

ReBaIR: Reference-Based Image Restoration

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...
Spline Deformation Field

Spline Deformation Field

by America Ortiz | Aug 26, 2025 | Rendering, Video Processing, Visual Computing

Spline Deformation Field In this paper, we propose a spline-based trajectory representation, where the number of knots explicitly determines the degrees of freedom. This approach enables efficient analytical derivation of velocities, preserving spatial coherence and...
Synth2Track Editor for Efficient Match-Animation

Synth2Track Editor for Efficient Match-Animation

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....
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