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cs.CV2023★ 1 cited
DreaMoving: A Human Video Generation Framework based on Diffusion Models
Mengyang Feng, Jinlin Liu, Kai Yu +13
In this paper, we present DreaMoving, a diffusion-based controllable video generation framework to produce high-quality customized human videos. Specifically, given target identity…
cs.CV2023
Boosting3D: High-Fidelity Image-to-3D by Boosting 2D Diffusion Prior to 3D Prior with Progressive Learning
Kai Yu, Jinlin Liu, Mengyang Feng +2
We present Boosting3D, a multi-stage single image-to-3D generation method that can robustly generate reasonable 3D objects in different data domains. The point of this work is to s…
cs.CV2023★ 2 cited
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models
Mengyang Feng, Jinlin Liu, Miaomiao Cui +1
This is a technical report on the 360-degree panoramic image generation task based on diffusion models. Unlike ordinary 2D images, 360-degree panoramic images capture the entire $3…