3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data
Mengqi Zhang, Yang Fu, Zheng Ding +3
3D hand-object interaction data is scarce due to the hardware constraints in scaling up the data collection process. In this paper, we propose HOIDiffusion for generating realistic…
cs.CV2023★ 1 cited
Dolfin: Diffusion Layout Transformers without Autoencoder
Yilin Wang, Zeyuan Chen, Liangjun Zhong +3
In this paper, we introduce a novel generative model, Diffusion Layout Transformers without Autoencoder (Dolfin), which significantly improves the modeling capability with reduced…
cs.CV2023★ 3 cited
Patched Denoising Diffusion Models For High-Resolution Image Synthesis
Zheng Ding, Mengqi Zhang, Jiajun Wu +1
We propose an effective denoising diffusion model for generating high-resolution images (e.g., 1024512), trained on small-size image patches (e.g., 6464). We name o…