6 citations · 6 across the 3 of their papers we have counts for
5 papers
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…
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…
MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing
Haoxuan Li, Ziya Erkoc, Lei Li +4
We introduce MeshPad, a generative approach that creates 3D meshes from sketch inputs. Building on recent advances in artist-reminiscent triangle mesh generation, our approach addr…
PrEditor3D: Fast and Precise 3D Shape Editing
Ziya Erkoç, Can Gümeli, Chaoyang Wang +5
We propose a training-free approach to 3D editing that enables the editing of a single shape within a few minutes. The edited 3D mesh aligns well with the prompts, and remains iden…
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
Ziya Erkoç, Fangchang Ma, Qi Shan +2
Implicit neural fields, typically encoded by a multilayer perceptron (MLP) that maps from coordinates (e.g., xyz) to signals (e.g., signed distances), have shown remarkable promise…