4 citations · 9 across the 11 of their papers we have counts for
5 papers · 1 filter
CycleDiff: Cycle Diffusion Models for Unpaired Image-to-image Translation
Shilong Zou, Yuhang Huang, Renjiao Yi +2
We introduce a diffusion-based cross-domain image translator in the absence of paired training data. Unlike GAN-based methods, our approach integrates diffusion models to learn the…
Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics
Zhirui Gao, Renjiao Yi, Yuhang Huang +3
Low-level 3D representations, such as point clouds, meshes, NeRFs and 3D Gaussians, are commonly used for modeling 3D objects and scenes. However, cognitive studies indicate that h…
Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields
Yuhang Huang, SHilong Zou, Xinwang Liu +1
This paper presents a novel latent 3D diffusion model for the generation of neural voxel fields, aiming to achieve accurate part-aware structures. Compared to existing methods, the…
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
Yunfan Ye, Kai Xu, Yuhang Huang +2
Limited by the encoder-decoder architecture, learning-based edge detectors usually have difficulty predicting edge maps that satisfy both correctness and crispness. With the recent…
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation
Yuhang Huang, Zheng Qin, Xinwang Liu +1
Recent studies have demonstrated that the forward diffusion process is crucial for the effectiveness of diffusion models in terms of generative quality and sampling efficiency. We…