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BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

by America Ortiz | Dec 10, 2024 | Video Processing, Visual Computing

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation We propose BetterDepth to achieve geometrically correct affine-invariant MDE while capturing fine details. Specifically, BetterDepth is a conditional diffusion-based refiner that...
Revitalizing Legacy Video Content: Deinterlacing with Bidirectional Information Propagation

Revitalizing Legacy Video Content: Deinterlacing with Bidirectional Information Propagation

by America Ortiz | Nov 24, 2024 | Rendering, Video Processing, Visual Computing

Revitalizing Legacy Video Content: Deinterlacing with Bidirectional Information Propagation In this paper, we present a deep-learning-based method for deinterlacing animated and live-action content. Our proposed method supports bidirectional spatio-temporal...
Skel-inbetweening for Intuitive Neural Motion Authoring

Skel-inbetweening for Intuitive Neural Motion Authoring

by America Ortiz | Nov 11, 2024 | Animation, Visual Computing

Skel-inbetweening for Intuitive Neural Motion Authoring In this paper, we introduce a Neural Motion Rig called SKEL-Betweener, tailored to interactive motion authoring. SKEL-Betweener is able to generate long motion sequences from two poses only, and enables...
RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards

RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards

by America Ortiz | Nov 4, 2024 | Animation, Visual Computing

RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards This paper presents a novel learning-based control framework that uses keyframing to incorporate high-level objectives in natural locomotion for legged robots....
Efficient Video Encoder Autotuning via Offline Bayesian Optimization and Supervised Learning

Efficient Video Encoder Autotuning via Offline Bayesian Optimization and Supervised Learning

by America Ortiz | Oct 1, 2024 | Video Processing, Visual Computing

Efficient Video Encoder Autotuning via Offline Bayesian Optimization and Supervised Learning We propose an efficient video encoder autotuner based on offline Bayesian optimization and supervised machine learning. Our proposal uses Bayesian optimization to search for a...
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