Publications

Our publications provide insight into some of our leading-edge research.

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2025

Assessing Learned Models for Phase-only Hologram Compression
Zicong Peng, Yicheng Zhan, Josef Spjut, Kaan Akşit
Esports Rendering: Industry and Player Perspectives
Josef Spjut, Benjamin Watson
Generative Detail Enhancement for Physically Based Materials
Saeed Hadadan, Benedikt Bitterli, Tizian Zeltner, Jan Novák, Fabrice Rousselle, Jacob Munkberg, Jon Hasselgren, Bart Wronski, Matthias Zwicker
Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss
Ziyi Zhang, Nicolas Roussel, Thomas Müller, Tizian Zeltner, Merlin Nimier-David, Fabrice Rousselle, Wenzel Jakob
GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting
Georgia Tech, Ben Keller, Yingyan Celine Lin, Brucek Khailany
Make It Count: Text-to-Image Generation with an Accurate Number of Objects
Lital Binyamin, Yoad Tewel, Eran Hirsch, Royi Rassin, Gal Chechik
A Generative AI Game Jam Case Study from October 2024
Josef Spjut
Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns
Behrooz Zarebavani, Danny Kaufman, David Levin, Maryam Mehri Dehnavi
Detection of artifacts in clean and corrupted video pairs is influenced by artifact type and presentation modality
Niall L. Williams, Anatolii Evdokimov, Budmonde Duinkharjav, Anjul Patney, Qi Sun, Jae-Hyun Jung, Ruth Rosenholtz
Toward Understanding Display Size for FPS Esports Aiming
Arjun Madhusudan, Josef Spjut, Benjamin Watson, Seth Schneider, Ben Boudaoud, Joohwan Kim
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models,
Dvir Samuel, Barak Meiri, Haggai Maron, Yoad Tewel, Nir Darshan, Shai Avidan, Gal Chechik, Rami Ben-Ari
Add-it: Training-Free Object Insertion in Images via Pretrained Diffusion Models
Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik
Pushing the Limits? Frame Rate Benefits to Players for up to 500 Hz in First Person Shooter Games
Samin Shahriar Tokey, Ben Boudaoud, Joohwan Kim, Josef Spjut, Mark Claypool
CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models
Kuan-Hung Liu, Cheng-Kun Yang, Min-Hung Chen, Yu-Lun Liu, Yen-Yu Lin
scene_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation
Clemens Eppner, Adithya Murali, Caelan Garrett, Rowland O'Flaherty, Tucker Hermans, Wei Yang, Dieter Fox
High-Precision Benchmarks for the Stochastic Rod
Eugene d'Eon, Anil Prinja