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...
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...
by America Ortiz | Jul 9, 2025 | Capture, VFX, Visual Computing
ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions In this work, we propose to couple locally-defined facial expressions with 3D Gaussian splatting to enable creating ultra-high fidelity, expressive and photorealistic head avatars. July 10,...
