13 citations · 14 across the 4 of their papers we have counts for
5 papers · 1 filter
Fashion-VDM: Video Diffusion Model for Virtual Try-On
Johanna Karras, Yingwei Li, Nan Liu +5
We present Fashion-VDM, a video diffusion model (VDM) for generating virtual try-on videos. Given an input garment image and person video, our method aims to generate a high-qualit…
Compositional Image Decomposition with Diffusion Models
Jocelin Su, Nan Liu, Yanbo Wang +2
Given an image of a natural scene, we are able to quickly decompose it into a set of components such as objects, lighting, shadows, and foreground. We can then envision a scene whe…
M&M VTO: Multi-Garment Virtual Try-On and Editing
Luyang Zhu, Yingwei Li, Nan Liu +3
We present M&M VTO, a mix and match virtual try-on method that takes as input multiple garment images, text description for garment layout and an image of a person. An example inpu…
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
Nan Liu, Yilun Du, Shuang Li +2
Text-to-image generative models have enabled high-resolution image synthesis across different domains, but require users to specify the content they wish to generate. In this paper…
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models
Won Park, Nan Liu, Qi Alfred Chen +1
A critical aspect of autonomous vehicles (AVs) is the object detection stage, which is increasingly being performed with sensor fusion models: multimodal 3D object detection models…