118 citations · 182 across the 15 of their papers we have counts for
15 papers
Z-Order Transformer for Feed-Forward Gaussian Splatting
Can Wang, Lei Liu, Wei Jiang +1
Recent advances in 3D Gaussian Splatting (3DGS) have enabled significant progress in photorealistic novel view synthesis. However, traditional 3DGS relies on a slow, iterative opti…
simpleposter: A simple baseline for product poster generation
Benlei Cui, Fangao Zeng, Weitao Jiang +6
Product poster generation poses distinct challenges beyond general poster design, requiring both faithful preservation of product appearance and precise control over dense, multi-l…
L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression
Yongqi Zhai, Luyang Tang, Wei Jiang +2
Recently, learned video compression (LVC) has shown superior performance under low-delay configuration. However, the performance of learned bi-directional video compression (LBVC)…
MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression
Wei Jiang, Yongqi Zhai, Jiayu Yang +2
Recent advances in learned image compression (LIC) have achieved remarkable performance improvements over traditional codecs. Notably, the MLIC series-LICs equipped with multi-refe…
Hybrid Local-Global Context Learning for Neural Video Compression
Yongqi Zhai, Jiayu Yang, Wei Jiang +3
In neural video codecs, current state-of-the-art methods typically adopt multi-scale motion compensation to handle diverse motions. These methods estimate and compress either optic…
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
Yongqi Zhai, Yi Ma, Luyang Tang +2
Scalable coding, which can adapt to channel bandwidth variation, performs well in today's complex network environment. However, most existing scalable compression methods face two…
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression
Wei Jiang, Junru Li, Kai Zhang +1
In Learned Video Compression (LVC), improving inter prediction, such as enhancing temporal context mining and mitigating accumulated errors, is crucial for boosting rate-distortion…
LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression
Wei Jiang, Junru Li, Kai Zhang +1
Existing learned video compression models employ flow net or deformable convolutional networks (DCN) to estimate motion information. However, the limited receptive fields of flow n…
UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding
Jiayu Yang, Wei Jiang, Yongqi Zhai +2
This paper presents a learned video compression method in response to video compression track of the 6th Challenge on Learned Image Compression (CLIC), at DCC 2024.Specifically, we…
TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation
Wei Jiang, Yongqi Zhai, Hangyu Li +1
This short paper describes our method for the track of image compression. To achieve better perceptual quality, we use the adversarial loss to generate realistic textures, use regi…
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
Wei Jiang, Jiayu Yang, Yongqi Zhai +2
The latent representation in learned image compression encompasses channel-wise, local spatial, and global spatial correlations, which are essential for the entropy model to captur…
HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform
Peirong Ning, Wei Jiang, Ronggang Wang
In recent years, there has been rapid development in learned image compression techniques that prioritize ratedistortion-perceptual compression, preserving fine details even at low…
LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression
Wei Jiang, Peirong Ning, Jiayu Yang +3
The effective receptive field (ERF) plays an important role in transform coding, which determines how much redundancy can be removed during transform and how many spatial priors ca…
MLIC: Multi-Reference Entropy Model for Learned Image Compression
Wei Jiang, Jiayu Yang, Yongqi Zhai +3
Recently, learned image compression has achieved remarkable performance. The entropy model, which estimates the distribution of the latent representation, plays a crucial role in b…
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
Yi Ma, Yongqi Zhai, Ronggang Wang
Scalable coding, which can adapt to channel bandwidth variation, performs well in today's complex network environment. However, the existing scalable compression methods face two c…