4 citations · 9 across the 9 of their papers we have counts for
4 papers · 1 filter
Improved Video VAE for Latent Video Diffusion Model
Pingyu Wu, Kai Zhu, Yu Liu +4
Variational Autoencoder (VAE) aims to compress pixel data into low-dimensional latent space, playing an important role in OpenAI's Sora and other latent video diffusion generation…
ViViD: Video Virtual Try-on using Diffusion Models
Zixun Fang, Wei Zhai, Aimin Su +7
Video virtual try-on aims to transfer a clothing item onto the video of a target person. Directly applying the technique of image-based try-on to the video domain in a frame-wise m…
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior
Zhiheng Liu, Hao Ouyang, Qiuyu Wang +7
3D Gaussians have recently emerged as an efficient representation for novel view synthesis. This work studies its editability with a particular focus on the inpainting task, which…
Intention-driven Ego-to-Exo Video Generation
Hongchen Luo, Kai Zhu, Wei Zhai +1
Ego-to-exo video generation refers to generating the corresponding exocentric video according to the egocentric video, providing valuable applications in AR/VR and embodied AI. Ben…