5 papers
Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation
Yanbo Gao, Huibin Bai, Huasong Zhou +6
Self-supervised monocular depth estimation (MDE) has received increasing interests in the last few years. The objects in the scene, including the object size and relationship among…
Monocular Depth Estimation From the Perspective of Feature Restoration: A Diffusion Enhanced Depth Restoration Approach
Huibin Bai, Shuai Li, Hanxiao Zhai +6
Monocular Depth Estimation (MDE) is a fundamental computer vision task with important applications in 3D vision. The current mainstream MDE methods employ an encoder-decoder archit…
LiftFormer: Lifting and Frame Theory Based Monocular Depth Estimation Using Depth and Edge Oriented Subspace Representation
Shuai Li, Huibin Bai, Yanbo Gao +5
Monocular depth estimation (MDE) has attracted increasing interest in the past few years, owing to its important role in 3D vision. MDE is the estimation of a depth map from a mono…
A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression
Zhenyu Du, Yanbo Gao, Shuai Li +3
With the great success of diffusion models in image generation, diffusion-based image compression is attracting increasing interests. However, due to the random noise introduced in…
CWRNN-INVR: A Coupled WarpRNN based Implicit Neural Video Representation
Yiyang Li, Yanbo Gao, Shuai Li +5
Implicit Neural Video Representation (INVR) has emerged as a novel approach for video representation and compression, using learnable grids and neural networks. Existing methods fo…