40 citations · 59 across the 66 of their papers we have counts for
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Describing Differences in Image Sets with Natural Language
Lisa Dunlap, Yuhui Zhang, Xiaohan Wang +5
How do two sets of images differ? Discerning set-level differences is crucial for understanding model behaviors and analyzing datasets, yet manually sifting through thousands of im…
Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models
James Burgess, Kuan-Chieh Wang, Serena Yeung-Levy
Text-to-image diffusion models generate impressive and realistic images, but do they learn to represent the 3D world from only 2D supervision? We demonstrate that yes, certain 3D s…
Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging Domains
Zhenzhen Weng, Laura Bravo-Sánchez, Serena Yeung-Levy
Recent text-to-image generative models have exhibited remarkable abilities in generating high-fidelity and photo-realistic images. However, despite the visually impressive results,…