25 citations · 72 across the 7 of their papers we have counts for
7 papers
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
Shengming Yin, Chenfei Wu, Jian Liang +4
Controllable video generation has gained significant attention in recent years. However, two main limitations persist: Firstly, most existing works focus on either text, image, or…
Rumor Detection with Diverse Counterfactual Evidence
Kaiwei Zhang, Junchi Yu, Haichao Shi +2
The growth in social media has exacerbated the threat of fake news to individuals and communities. This draws increasing attention to developing efficient and timely rumor detectio…
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
YiFan Zhang, Xue Wang, Jian Liang +4
A fundamental challenge for machine learning models is how to generalize learned models for out-of-distribution (OOD) data. Among various approaches, exploiting invariant features…
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis
Kun Yan, Lei Ji, Chenfei Wu +4
Panorama synthesis endeavors to craft captivating 360-degree visual landscapes, immersing users in the heart of virtual worlds. Nevertheless, contemporary panoramic synthesis techn…
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
Chenfei Wu, Jian Liang, Xiaowei Hu +6
In this paper, we present NUWA-Infinity, a generative model for infinite visual synthesis, which is defined as the task of generating arbitrarily-sized high-resolution images or lo…
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT
Xingchen Liu, Yawen Li, Yingxia Shao +2
In the field of car evaluation, more and more netizens choose to express their opinions on the Internet platform, and these comments will affect the decision-making of buyers and t…
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Jie Shi, Chenfei Wu, Jian Liang +2
Recently most successful image synthesis models are multi stage process to combine the advantages of different methods, which always includes a VAE-like model for faithfully recons…