Maneesh Agrawala

Stanford Medicine — United States

Computer Science · Physical Sciences

73h-index20.1kcitations311works4.92yr avg
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Research Topics

Computer Graphics and Visualization Techniques(70), Video Analysis and Summarization(64), Advanced Vision and Imaging(59), Data Visualization and Analytics(50), Human Motion and Animation(40)

Publications311 total

Pretraining Frame Preservation in Autoregressive Video Memory Compression
arXiv (Cornell University)·2025Open Access
Pretraining Frame Preservation in Autoregressive Video Memory Compression
ArXiv.org·2025Open Access
LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfer
ArXiv.org·2025Open Access
LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfer
arXiv (Cornell University)·2025Open Access
Teaching Spell Checkers to Teach: Pedagogical Program Synthesis for Interactive Learning
arXiv (Cornell University)·2025Open Access
Kinematic Kitbashing for Modeling Functional Articulated Objects
arXiv (Cornell University)·2025Open Access
Mixture of Contexts for Long Video Generation
arXiv (Cornell University)·2025· 1 citedOpen Access
Drawing and Sketching: Art, Psychology, and Computer Graphics
2025Open Access
CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration
arXiv (Cornell University)·2025Open Access
MoVer: Motion Verification for Motion Graphics Animations
ACM Transactions on Graphics·2025· 2 citedOpen Access
Generating Past and Future in Digital Painting Processes
ACM Transactions on Graphics·2025
Captain Cinema: Towards Short Movie Generation
arXiv (Cornell University)·2025Open Access
Instance Segmentation of Scene Sketches Using Natural Image Priors
2025Open Access
SimStep: Chain-of-Abstractions for Incremental Specification and Debugging of AI-Generated Interactive Simulations
arXiv (Cornell University)·2025Open Access
Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
arXiv (Cornell University)·2025Open Access
Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation
arXiv (Cornell University)·2025Open Access
Keyframe-Guided Creative Video Inpainting
2025· 1 cited
Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models
arXiv (Cornell University)·2025Open Access
Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization
arXiv (Cornell University)·2025Open Access
Cube: A Roblox View of 3D Intelligence
arXiv (Cornell University)·2025· 1 citedOpen Access
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Frequent Co-authors

Jeffrey Heer(9), Michael Cohen(7), Richard Szeliski(6), David Salesin(6), Brian Curless(5), Aseem Agarwala(4), Mira Dontcheva(3), Steven M. Drucker(3), Alex Colburn(3), Amy Pavel(3), Jue Wang(3), Michael F. Cohen(3), Pat Hanrahan(3), Wilmot Li(3), Björn Hartmann(3), Lvmin Zhang(2), Georg Petschnigg(2), Hugues Hoppe(2), Kentaro Toyama(2), Nicholas Kong(2)