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Found 10 papers, 1 papers with code
StylizedGS: Controllable Stylization for 3D Gaussian Splatting
With the rapid development of XR, 3D generation and editing are becoming more and more important, among which, stylization is an important tool of 3D appearance editing.
MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation
To address this issue, we present Motion-Aware Loss, which leverages the temporal relation among consecutive input frames and a novel distillation scheme between the teacher and student networks in the multi-frame self-supervised depth estimation methods.
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Self-supervised monocular depth estimation is of significant importance with applications spanning across autonomous driving and robotics.
Deep 360$^\circ$ Optical Flow Estimation Based on Multi-Projection Fusion
Optical flow computation is essential in the early stages of the video processing pipeline.
Casual 6-DoF: free-viewpoint panorama using a handheld 360 camera
Six degrees-of-freedom (6-DoF) video provides telepresence by enabling users to move around in the captured scene with a wide field of regard.
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a query shape in a repository with models belonging to the same class, which requires shape descriptors to be capable of representing detailed geometric information to discriminate shapes with globally similar structures.
JMNet: A joint matting network for automatic human matting
We propose a novel end-to-end deep learning framework, the Joint Matting Network (JMNet), to automatically generate alpha mattes for human images.
Deep Line Art Video Colorization with a Few References
The color transform network takes the target line art images as well as the line art and color images of one or more reference images as input, and generates corresponding target color images.
A Survey on Deep Geometry Learning: From a Representation Perspective
However, the performance for different applications largely depends on the representation used, and there is no unique representation that works well for all applications.
Graphics
Deep Portrait Image Completion and Extrapolation
We evaluate our method on public portrait image datasets, and show that it outperforms other state-of-art general image completion methods.
Graphics
