Publication Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning Zichen Miao, Jiang Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu CVPR 2024 | May 2024
Publication Improving the Training of Rectified Flows Sangyun Lee, Zinan Lin, Giulia Fanti NeurIPS 2024 | May 2024
Publication Disentangled Prompt Representation for Domain Generalization De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao CVPR 2024 | May 2024
Publication NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild Zihan Zhu, Boyang Sun, Jiaqi Chen, Marc Pollefeys, Songyou Peng CVPR 2024 | May 2024
Publication BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition Yuxuan Zhou, Xudong Yan, Zhi-Qi Cheng, Yan Yan, Qi Dai, Xian-Sheng Hua The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) | May 2024
Publication Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen International Conference on Learning Representations | May 2024
Publication Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization Le Chen, Weirong Chen, Rui Wang, Marc Pollefeys ICRA | May 2024
Publication Generative Latent Coding for Ultra-Low Bitrate Image Compression Zhaoyang Jia, Jiahao Li, Bin Li, Houqiang Li, Yan Lu The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 | May 2024
Publication Rescaling Intermediate Features Makes Trained Consistency Models Perform Better Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko ICLR (TinyPapers) 2024 | May 2024
Publication XFeat: Accelerated Features for Lightweight Image Matching Guilherme A. Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. Nascimento CVPR 2024 | April 2024
Research
Research
