10 citations · 11 across the 2 of their papers we have counts for
3 papers
eess.IV2024
DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models
Kevin Miao, Harsh Agrawal, Qihang Zhang +4
Generating high-quality 3D content requires models capable of learning robust distributions of complex scenes and the real-world objects within them. Recent Gaussian-based 3D recon…
cs.CV2023★ 10 cited
Matryoshka Diffusion Models
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang +2
Diffusion models are the de facto approach for generating high-quality images and videos, but learning high-dimensional models remains a formidable task due to computational and op…
cs.CV2023★ 1 cited
Diffusion Probabilistic Fields
Peiye Zhuang, Samira Abnar, Jiatao Gu +3
Diffusion probabilistic models have quickly become a major approach for generative modeling of images, 3D geometry, video and other domains. However, to adapt diffusion generative…