no code implementations • 7 Apr 2024 • Xingtong Ge, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, Hongwei Qin
Prior research on deep video compression (DVC) for machine tasks typically necessitates training a unique codec for each specific task, mandating a dedicated decoder per task.
1 code implementation • 13 Mar 2024 • Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, Jun Zhang
In response, we propose a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting, named GaussianImage.
no code implementations • 13 Mar 2024 • Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang
Existing learning-based stereo image codec adopt sophisticated transformation with simple entropy models derived from single image codecs to encode latent representations.
1 code implementation • 28 Feb 2024 • Xinjie Zhang, Ren Yang, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, Jun Zhang
Implicit neural representations (INRs) have emerged as a promising approach for video storage and processing, showing remarkable versatility across various video tasks.
no code implementations • 9 Feb 2024 • Tongda Xu, Ziran Zhu, Dailan He, Yuanyuan Wang, Ming Sun, Ning li, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
In addition, we propose a new family of DIS using pure CM.
1 code implementation • 17 Jan 2024 • Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
However, we find that theoretically: 1) Conditional generative model-based perceptual codec satisfies idempotence; 2) Unconditional generative model with idempotence constraint is equivalent to conditional generative codec.
no code implementations • 25 Aug 2023 • Lina Guo, Yuanyuan Wang, Tongda Xu, Jixiang Luo, Dailan He, Zhenjun Ji, Shanshan Wang, Yang Wang, Hongwei Qin
Second, we propose pipeline parallel context model (PPCM) and compressed checkerboard context model (CCCM) for the effective conditional modeling and efficient decoding within luma and chroma components.
no code implementations • 16 Aug 2023 • Tongda Xu, Qian Zhang, Yanghao Li, Dailan He, Zhe Wang, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
We propose conditional perceptual quality, an extension of the perceptual quality defined in \citet{blau2018perception}, by conditioning it on user defined information.
1 code implementation • 6 Mar 2023 • Yi Zhang, Dasong Li, Xiaoyu Shi, Dailan He, Kangning Song, Xiaogang Wang, Hongwei Qin, Hongsheng Li
In this paper, we propose a kernel basis attention (KBA) module, which introduces learnable kernel bases to model representative image patterns for spatial information aggregation.
Ranked #1 on Color Image Denoising on McMaster sigma50
no code implementations • 28 Sep 2022 • Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin
This paper considers the problem of lossy neural image compression (NIC).
1 code implementation • 20 Sep 2022 • Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
In this paper, we consider the problem of bit allocation in Neural Video Compression (NVC).
no code implementations • 19 Sep 2022 • Chenjian Gao, Tongda Xu, Dailan He, Hongwei Qin, Yan Wang
Neural image compression (NIC) has outperformed traditional image codecs in rate-distortion (R-D) performance.
no code implementations • 29 Jul 2022 • Hongjiu Yu, Qiancheng Sun, Jin Hu, Xingyuan Xue, Jixiang Luo, Dailan He, Yilong Li, Pengbo Wang, Yuanyuan Wang, Yaxu Dai, Yan Wang, Hongwei Qin
On CPU, the latency of our implementation is comparable with JPEG XL.
1 code implementation • 28 May 2022 • Dailan He, Ziming Yang, Hongjiu Yu, Tongda Xu, Jixiang Luo, Yuan Chen, Chenjian Gao, Xinjie Shi, Hongwei Qin, Yan Wang
In the past years, learned image compression (LIC) has achieved remarkable performance.
no code implementations • CVPR 2022 • Lina Guo, Xinjie Shi, Dailan He, Yuanyuan Wang, Rui Ma, Hongwei Qin, Yan Wang
JPEG is a popular image compression method widely used by individuals, data center, cloud storage and network filesystems.
5 code implementations • CVPR 2022 • Dailan He, Ziming Yang, Weikun Peng, Rui Ma, Hongwei Qin, Yan Wang
Recently, learned image compression techniques have achieved remarkable performance, even surpassing the best manually designed lossy image coders.
Ranked #1 on Image Compression on kodak
no code implementations • 15 Feb 2022 • Dailan He, Ziming Yang, Yuan Chen, Qi Zhang, Hongwei Qin, Yan Wang
It has been witnessed that learned image compression has outperformed conventional image coding techniques and tends to be practical in industrial applications.
no code implementations • 30 Sep 2021 • Baocheng Sun, Meng Gu, Dailan He, Tongda Xu, Yan Wang, Hongwei Qin
Learned image compression is making good progress in recent years.
no code implementations • 29 Sep 2021 • Dailan He, Ziming Yang, Yan Wang, Yuan Chen, Qi Zhang, Hongwei Qin
It has been witnessed that learned image compression has outperformed conventional image coding techniques and tends to be practical in industrial applications.
no code implementations • 5 Aug 2021 • Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu
Existing works usually adopt dynamic graph networks to indirectly model the intra/inter-modal interactions, making the model difficult to distinguish the referred object from distractors due to the monolithic representations of visual and linguistic contents.
3 code implementations • CVPR 2021 • Dailan He, Yaoyan Zheng, Baocheng Sun, Yan Wang, Hongwei Qin
To the best of our knowledge, this is the first exploration on parallelization-friendly spatial context model for learned image compression.