Skip to content

Author

J. Rehg

We have 6 of 86 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

BudgetPix: Compute-Adaptive Tokenization for Pixel-Space Image Diffusion

Most image generation models rely on uniform tokenization, allocating the exact same computational budget to equally-sized image patches. This static paradigm cannot adapt to different resource constraints at inference time, and yields suboptimal quality-cost tradeoff by devoting the same effort to both plain backgroun...

Ozgur Kara, Yujia Chen, Daniel Watson et al. · 0 citations
Review Aug 2026

A Survey on Adversarial Attacks and Defenses for Diffusion Models Across Multiple Modalities

Diffusion models have become the dominant family of generative models in the visual domain. However, their widespread public availability enables misuse at scale, motivating a rapidly growing body of research on adversarial attacks and defenses. This survey provides, to our knowledge, the first unified review of this l...

Ozgur Kara, Tarik Can Ozden, Furkan Horoz et al. · 0 citations
Preprint Sep 2026

LeRF: Learning Reference Coordinate Frames for Perspective Taking Reasoning

Learning Reference Coordinate Frames for Perspective Taking is introduced, a framework that trains VLMs to construct and use explicit reference frames for viewpoint-dependent reasoning and consistently improves over its backbone and achieves strong performance against existing open-source methods.

Bang Xiao, Wen-Qi Jia, Ozgur Kara et al. · 0 citations
Preprint Sep 2026

Kirin: Animal Motion Generation from In-the-Wild Video

Kirin is introduced, a framework that reconstructs motion from video, learns motion priors at scale, and generates realistic motion that can be directly applied to animated assets that establishes a new foundation for large-scale, text and image conditioned animal motion generation and animation.

Brian Nlong Zhao, Zhuo-Yang Pan, J. Rehg et al. · 1 citation
Preprint Sep 2026

Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation

This work introduces RIG-BENCH, a novel comprehensive benchmark that systematically evaluates Reasoning-driven Image Generation (RIG) across four cognitively demanding domains: Concept-based, Transformation-based, Pattern&Structure, and Scenario-based.

Yu-Tong Liu, Nan Huang, Xu Cao et al. · 1 citation
#artificial intelligence Preprint Aug 2026

ConvDeck: Conversational Paper-to-Slide Generation via Stage-Specific User Feedback

ConvDeck is introduced, a multi-agent pipeline for conversational paper-to-slide generation that distributes interaction across the pipeline through stage-specific loops, allowing users to iteratively refine both the presentation outline and the final slide deck at the stages where each kind of decision is made.

Tarik Can Ozden, VS Sachidanand, Furkan Horoz et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.