1 citations · 1 across the 7 of their papers we have counts for
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End-to-End Learned Image Coding: From Rate-Distortion Optimization to Practical Deployment
Ming Lu, Junqi Shi, Zhan Ma
End-to-end learned image coding (LIC) has achieved substantial improvements in rate--distortion (R--D) performance, yet practical deployment requires addressing a broader set of sy…
ReX-Shot: Single-Image Rephotography via Geometry- and Camera-Grounded Generation
Ruiqi Zhang, Hao Zhu, Wenhao Zhang +5
Single-image rephotography aims to synthesize new shots of a scene from a single reference image with specified viewpoints, focal lengths, and photographic effects, which are intri…
Hadamard-Domain Model Quantization for Learned Image Coding
Junqi Shi, Chongzhi Wang, Yiwen He +2
Uniform INT8 quantization is attractive for deploying learned image coding (LIC), but its rate--distortion (R--D) performance is often limited by heavy-tailed tensors and large int…
DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
Junqi Shi, Ming Lu, Xingchen Li +3
Diffusion-based image compression has recently shown outstanding perceptual fidelity, yet its practicality is hindered by prohibitive sampling overhead and high memory usage. Most…