Disney Research Studios
  • Research
    • Machine Learning
    • Visual Computing
    • Data Sets
  • Publications
  • People
    • Leadership
    • Research Staff
    • Support Teams
    • Alumni
  • Careers
  • Outreach
  • About Us
Select Page
Interactive Generative Motion Editing via Scheduled Inpainting

Interactive Generative Motion Editing via Scheduled Inpainting

by America Ortiz | Jul 30, 2026 | Machine Learning, Video Processing, Visual Computing

Interactive Generative Motion Editing via Scheduled Inpainting In this work, we introduce scheduled inpainting, a method that enables interactive generative motion editing, a novel paradigm unifying motion synthesis and editing by leveraging generative models. July...
Two2Four: Generative Quadruped Puppeteering from Human Motion

Two2Four: Generative Quadruped Puppeteering from Human Motion

by America Ortiz | Jul 30, 2026 | Machine Learning, Video Processing, Visual Computing

Two2Four: Generative Quadruped Puppeteering from Human Motion In this work, we present an automatic human-to-quadruped puppeteering framework that produces plausible and controllable quadruped motions from ordinary human motion data. July 30, 2026 arXiv (2026)  ...
SmoothMotionVectors: Optimizing Your Content for Video Codecs in Free View Video Compression

SmoothMotionVectors: Optimizing Your Content for Video Codecs in Free View Video Compression

by America Ortiz | Jul 16, 2026 | Machine Learning, Video Processing, Visual Computing

SmoothMotionVectors: Optimizing Your Content for Video Codecs in Free View Video Compression In this work, we present an empirical study of free-view video compression for dynamic scenes reconstructed with 3D Gaussian Splatting, examining how practical pipeline design...
2D Gaussian Splatting for Bézier Spline Line Art Vectorization

2D Gaussian Splatting for Bézier Spline Line Art Vectorization

by America Ortiz | Jul 16, 2026 | Machine Learning, Video Processing, Visual Computing

2D Gaussian Splatting for Bézier Spline Line Art Vectorization In this work, we leverage several recent advances in the field to introduce a new state-of-the-art method for line art vectorization. July 16, 2026 SIGGRAPH (2026)     Authors Tianhao Chen...
Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings

Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings

by America Ortiz | Jul 16, 2026 | Machine Learning, Video Processing, Visual Computing

Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings In this work, we introduce the ragged neighborhood attention (RaNA) operator, which extends neighborhood attention to semi-structured deep images by dynamically resolving...
« Older Entries
© Copyright DisneyResearch|Studios