3 citations · 5 across the 3 of their papers we have counts for
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cs.CV2026
Gen4U: Unifying Video Generation and Understanding via Diffusion
Michael King, Aravindh Mahendran, Matthew Koichi Grimes +5
Prior work suggests that diffusion representations capture low-level geometry but struggle with high-level semantics. We demonstrate that state-of-the-art video diffusion models ov…
cs.CV2022★ 3 cited
Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models
Adham Elarabawy, Harish Kamath, Samuel Denton
With the rise of large, publicly-available text-to-image diffusion models, text-guided real image editing has garnered much research attention recently. Existing methods tend to ei…