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 | 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...
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 | Machine Learning, Video Processing, Visual Computing
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion In this work, we propose motion-textual inversion, a general method to transfer the semantic motion of a given reference motion video to given target images. It generalizes across various...
