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

2 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

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.CV20251 cited

MultiEgo: A Multi-View Egocentric Video Dataset for 4D Scene Reconstruction

Bate Li, Houqiang Zhong, Zhengxue Cheng +4

Multi-view egocentric dynamic scene reconstruction holds significant research value for applications in holographic documentation of social interactions. However, existing reconstr…

eess.IV2025

Large Language Model for Lossless Image Compression with Visual Prompts

Junhao Du, Chuqin Zhou, Ning Cao +6

Recent advancements in deep learning have driven significant progress in lossless image compression. With the emergence of Large Language Models (LLMs), preliminary attempts have b…

eess.IV2024

AsymLLIC: Asymmetric Lightweight Learned Image Compression

Shen Wang, Zhengxue Cheng, Donghui Feng +3

Learned image compression (LIC) methods often employ symmetrical encoder and decoder architectures, evitably increasing decoding time. However, practical scenarios demand an asymme…

eess.IV20242 cited

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression

Chuqin Zhou, Guo Lu, Jiangchuan Li +4

Neural image compression often faces a challenging trade-off among rate, distortion and perception. While most existing methods typically focus on either achieving high pixel-level…

cs.CV20241 cited

Face De-identification: State-of-the-art Methods and Comparative Studies

Jingyi Cao, Xiangyi Chen, Bo Liu +5

The widespread use of image acquisition technologies, along with advances in facial recognition, has raised serious privacy concerns. Face de-identification usually refers to the p…