33 citations · 51 across the 8 of their papers we have counts for
8 papers
BoxCtrl: 3D-Aware Visual Prompting for Geometric Image Editing
Feifei Wang, Shiyuan Yang, Xiaoyu Li +1
As instruction-based editing models and multimodal large language models advance, diverse image editing tasks have become feasible. However, achieving precise and consistent geomet…
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
Jingbo Zhang, Xiaoyu Li, Ziyu Wan +2
Text-driven 3D scene generation is widely applicable to video gaming, film industry, and metaverse applications that have a large demand for 3D scenes. However, existing text-to-3D…
3D Video Loops from Asynchronous Input
Li Ma, Xiaoyu Li, Jing Liao +1
Looping videos are short video clips that can be looped endlessly without visible seams or artifacts. They provide a very attractive way to capture the dynamism of natural scenes.…
FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
Jingbo Zhang, Xiaoyu Li, Ziyu Wan +2
We propose a Few-shot Dynamic Neural Radiance Field (FDNeRF), the first NeRF-based method capable of reconstruction and expression editing of 3D faces based on a small number of dy…
Deblur-NeRF: Neural Radiance Fields from Blurry Images
Li Ma, Xiaoyu Li, Jing Liao +4
Neural Radiance Field (NeRF) has gained considerable attention recently for 3D scene reconstruction and novel view synthesis due to its remarkable synthesis quality. However, image…
Let's See Clearly: Contaminant Artifact Removal for Moving Cameras
Xiaoyu Li, Bo Zhang, Jing Liao +1
Contaminants such as dust, dirt and moisture adhering to the camera lens can greatly affect the quality and clarity of the resulting image or video. In this paper, we propose a vid…
Deep Sketch-guided Cartoon Video Inbetweening
Xiaoyu Li, Bo Zhang, Jing Liao +1
We propose a novel framework to produce cartoon videos by fetching the color information from two input keyframes while following the animated motion guided by a user sketch. The k…
Document Rectification and Illumination Correction using a Patch-based CNN
Xiaoyu Li, Bo Zhang, Jing Liao +1
We propose a novel learning method to rectify document images with various distortion types from a single input image. As opposed to previous learning-based methods, our approach s…