ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting

1 code implementation • 7 Jan 2025 • Yifeng Yang, Hengyu Liu, Chenxin Li, Yining Sun, Wuyang Li, Yifan Liu, Yiyang Lin, Yixuan Yuan, Nanyang Ye

With the rapid development of 3D reconstruction technology, the widespread distribution of 3D data has become a future trend.

3D Reconstruction Knowledge Distillation

Seed-TTS: A Family of High-Quality Versatile Speech Generation Models

1 code implementation • 4 Jun 2024 • Philip Anastassiou, Jiawei Chen, Jitong Chen, Yuanzhe Chen, Zhuo Chen, Ziyi Chen, Jian Cong, Lelai Deng, Chuang Ding, Lu Gao, Mingqing Gong, Peisong Huang, Qingqing Huang, Zhiying Huang, YuanYuan Huo, Dongya Jia, ChuMin Li, Feiya Li, Hui Li, Jiaxin Li, Xiaoyang Li, Xingxing Li, Lin Liu, Shouda Liu, Sichao Liu, Xudong Liu, Yuchen Liu, Zhengxi Liu, Lu Lu, Junjie Pan, Xin Wang, Yuping Wang, Yuxuan Wang, Zhen Wei, Jian Wu, Chao Yao, Yifeng Yang, YuanHao Yi, Junteng Zhang, Qidi Zhang, Shuo Zhang, Wenjie Zhang, Yang Zhang, Zilin Zhao, Dejian Zhong, Xiaobin Zhuang

Seed-TTS offers superior controllability over various speech attributes such as emotion and is capable of generating highly expressive and diverse speech for speakers in the wild.

In-Context Learning Language Modelling +1

CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection

1 code implementation • 26 May 2024 • Lin Zhu, Yifeng Yang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye

In this paper, we propose a novel objective function of OOD detection that also serves to improve OOD generalization.

General Knowledge

Selective Learning: Towards Robust Calibration with Dynamic Regularization

no code implementations • 13 Feb 2024 • Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, QinGhua Hu

The objective can be understood as seeking a model that fits the ground-truth labels by increasing the confidence while also maximizing the entropy of predicted probabilities by decreasing the confidence.

Automatic Detection and Image Recognition of Precision Agriculture for Citrus Diseases

no code implementations • 29 Dec 2020 • ChauChung Song, ChihLun Wang, Yifeng Yang

In this paper, an automatic detection and image recognition of citrus diseases is presented that can help farmer find the disease and identify it from the captured images.

Image Classification object-detection +1