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20242026
most citedControllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression

2 citations · 4 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Recasting DiT for Extreme Image Compression with Hierarchical Visual Priors

Yunuo Chen, Jingnan Gao, Bing He +6

Pretrained diffusion models provide powerful generative priors for extreme image compression, but their stochastic, iterative generation processes are not designed to decode compre…

cs.CV2026

Visual Token Codec: Unleashing Spatial Redundancy for ViT Feature Coding

Donghui Feng, Fengxi Zhang, Changsheng Gao +6

Distributed deployment of large vision foundation models often partitions a ViT backbone and exchanges intermediate token features between computing nodes, making efficient feature…

cs.CV2026

SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors

Bing He, Jingnan Gao, Yunuo Chen +5

Reconstructing 3D scenes from sparse images remains a challenging task due to the difficulty of recovering accurate geometry and texture without optimization. Recent approaches lev…

cs.CV2025

Content-Aware Mamba for Learned Image Compression

Yunuo Chen, Zezheng Lyu, Bing He +6

Recent learned image compression (LIC) leverages Mamba-style state-space models (SSMs) for global receptive fields with linear complexity. However, the standard Mamba adopts conten…

cs.CV2025

S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image Compression

Yunuo Chen, Qian Li, Bing He +6

Transformer-based Learned Image Compression (LIC) suffers from a suboptimal trade-off between decoding latency and rate-distortion (R-D) performance. Moreover, the critical role of…

cs.CV2025★ 1 cited

Linear Attention Modeling for Learned Image Compression

Donghui Feng, Zhengxue Cheng, Shen Wang +4

Recent years, learned image compression has made tremendous progress to achieve impressive coding efficiency. Its coding gain mainly comes from non-linear neural network-based tran…

cs.CV2024

H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting

Bing He, Yunuo Chen, Guo Lu +5

Dynamic scene reconstruction poses a persistent challenge in 3D vision. Deformable 3D Gaussian Splatting has emerged as an effective method for this task, offering real-time render…