14 citations · 47 across the 11 of their papers we have counts for
11 papers
Distortion-aware Transformer in 360° Salient Object Detection
Yinjie Zhao, Lichen Zhao, Qian Yu +3
With the emergence of VR and AR, 360° data attracts increasing attention from the computer vision and multimedia communities. Typically, 360° data is projected into 2D ERP (equirec…
VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet
Zhihao Hu, Dong Xu
Recently, diffusion models like StableDiffusion have achieved impressive image generation results. However, the generation process of such diffusion models is uncontrollable, which…
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
Ximing Xing, Chuang Wang, Haitao Zhou +4
Exemplar-based sketch-to-photo synthesis allows users to generate photo-realistic images based on sketches. Recently, diffusion-based methods have achieved impressive performance o…
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
Ximing Xing, Chuang Wang, Haitao Zhou +3
We demonstrate that pre-trained text-to-image diffusion models, despite being trained on raster images, possess a remarkable capacity to guide vector sketch synthesis. In this pape…
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
Ziqin Wang, Bowen Cheng, Lichen Zhao +3
The task of 3D semantic scene graph (3DSSG) prediction in the point cloud is challenging since (1) the 3D point cloud only captures geometric structures with limited semantics comp…
Content Adaptive Latents and Decoder for Neural Image Compression
Guanbo Pan, Guo Lu, Zhihao Hu +1
In recent years, neural image compression (NIC) algorithms have shown powerful coding performance. However, most of them are not adaptive to the image content. Although several con…
Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline
Lichen Zhao, Daigang Cai, Jing Zhang +6
Recently, 3D vision-and-language tasks have attracted increasing research interest. Compared to other vision-and-language tasks, the 3D visual question answering (VQA) task is less…
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation
Ziming Wang, Xiaoliang Huo, Zhenghao Chen +3
Point cloud registration aims at estimating the geometric transformation between two point cloud scans, in which point-wise correspondence estimation is the key to its success. In…
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling
Chenjian Gao, Qian Yu, Lu Sheng +2
Reconstructing a 3D shape based on a single sketch image is challenging due to the large domain gap between a sparse, irregular sketch and a regular, dense 3D shape. Existing works…
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
Zhihao Hu, Guo Lu, Jinyang Guo +3
The previous deep video compression approaches only use the single scale motion compensation strategy and rarely adopt the mode prediction technique from the traditional standards…
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network
Jinyang Guo, Dong Xu, Guo Lu
In this paper, we propose a new deep image compression framework called Complexity and Bitrate Adaptive Network (CBANet), which aims to learn one single network to support variable…