4 papers
Post-training Quantization for Hybrid Iterative Generative Models
Jing Gao, Junyi Wu, Wei Wang +2
Iterative Generative Models (IGMs) span autoregressive and diffusion paradigms, and hybrid variants that couple them can achieve remarkable image-generation fidelity. However, thei…
Customizable ROI-Based Deep Image Compression
Jian Jin, Fanxin Xia, Feng Ding +5
Region of Interest (ROI)-based image compression optimizes bit allocation by prioritizing ROI for higher-quality reconstruction. However, as the users (including human clients and…
Memory Efficient Matting with Adaptive Token Routing
Yiheng Lin, Yihan Hu, Chenyi Zhang +5
Transformer-based models have recently achieved outstanding performance in image matting. However, their application to high-resolution images remains challenging due to the quadra…
Revisiting 360 Depth Estimation with PanoGabor: A New Fusion Perspective
Zhijie Shen, Chunyu Lin, Lang Nie +3
Depth estimation from a monocular 360 image is important to the perception of the entire 3D environment. However, the inherent distortion and large field of view (FoV) in 360 image…