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20232026
most citedHyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion

6 citations · 6 across the 3 of their papers we have counts for

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2 papers · 1 filter

cs.CV2026

DreamEdit3D: Personalization of Multi-View Diffusion Models for 3D Editing

Jinxin Ai, Matthias Nießner, Ziya Erkoç

While 2D diffusion models have achieved remarkable success in identity-preserving personalization, extending this capability to 3D assets remains a significant challenge due to the…

cs.CV2026

WorldAgents: Can Foundation Image Models be Agents for 3D World Models?

Ziya Erkoç, Angela Dai, Matthias Nießner

Given the remarkable ability of 2D foundation image models to generate high-fidelity outputs, we investigate a fundamental question: do 2D foundation image models inherently posses…