9 papers
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…
Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate-Distortion Awareness
Wuyang Cong, Junqi Shi, Lizhong Wang +4
Neural video compression (NVC) has demonstrated superior compression efficiency, yet effective rate control remains a significant challenge due to complex temporal dependencies. Ex…
ResTok: Learning Hierarchical Residuals in 1D Visual Tokenizers for Autoregressive Image Generation
Xu Zhang, Cheng Da, Huan Yang +3
Existing 1D visual tokenizers for autoregressive (AR) generation largely follow the design principles of language modeling, as they are built directly upon transformers whose prior…
YODA: Yet Another One-step Diffusion-based Video Compressor
Xingchen Li, Junzhe Zhang, Junqi Shi +2
While one-step diffusion models have recently excelled in perceptual image compression, their application to video remains limited. Prior efforts typically rely on pretrained 2D au…
Neural B-frame Video Compression with Bi-directional Reference Harmonization
Yuxi Liu, Dengchao Jin, Shuai Huo +5
Neural video compression (NVC) has made significant progress in recent years, while neural B-frame video compression (NBVC) remains underexplored compared to P-frame compression. N…
Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic Inference
Xu Zhang, Ming Lu, Yan Chen +1
In recent years, compressed domain semantic inference has primarily relied on learned image coding models optimized for mean squared error (MSE). However, MSE-oriented optimization…