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20232026
most citedDenoising Diffusion Step-aware Models

3 citations · 8 across the 22 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion

Zhifei Chen, Tianshuo Xu, Wenhang Ge +7

Rendering and inverse rendering are pivotal tasks in both computer vision and graphics. The rendering equation is the core of the two tasks, as an ideal conditional distribution tr…

cs.CV2024

AerialGo: Walking-through City View Generation from Aerial Perspectives

Fuqiang Zhao, Yijing Guo, Siyuan Yang +6

High-quality 3D urban reconstruction is essential for applications in urban planning, navigation, and AR/VR. However, capturing detailed ground-level data across cities is both lab…

cs.CV2024

LucidFusion: Reconstructing 3D Gaussians with Arbitrary Unposed Images

Hao He, Yixun Liang, Luozhou Wang +5

Recent large reconstruction models have made notable progress in generating high-quality 3D objects from single images. However, current reconstruction methods often rely on explic…

cs.CV2024★ 1 cited

SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance

Guibao Shen, Luozhou Wang, Jiantao Lin +9

Recent advancements in text-to-image generation have been propelled by the development of diffusion models and multi-modality learning. However, since text is typically represented…

cs.CV2024

Motion Inversion for Video Customization

Luozhou Wang, Ziyang Mai, Guibao Shen +6

In this work, we present a novel approach for motion customization in video generation, addressing the widespread gap in the exploration of motion representation within video gener…