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Controllable Tracking-Based Video Frame Interpolation

Controllable Tracking-Based Video Frame Interpolation

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...
High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion

High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion

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...
ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions

ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions

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,...
LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

by America Ortiz | Jun 9, 2025 | Animation, Visual Computing

LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping In this work, we revisit these famous optical illusions with a generative twist. With the help of latent rectified flow models, we propose a method to create anamorphic images that still retain a...
Bridging the Gap between Diffusion Models and Universal Quantization for Image Compression

Bridging the Gap between Diffusion Models and Universal Quantization for Image Compression

by America Ortiz | Jun 9, 2025 | Video Processing, Visual Computing

Bridging the Gap between Diffusion Models and Universal Quantization for Image Compression In this paper, we propose a novel quantization based forward diffusion process with theoretical foundations that tackles all three aforementioned gaps. We achieve this through...
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