Titlebook: Computer Vision – ECCV 2024; 18th European Confer Ale? Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

follicular-unit

受辱

LISO: Lidar-Only Self-supervised 3D Object Detection,erate, track, and iteratively refine pseudo ground truth. We demonstrate the effectiveness of our approach for multiple SOTA?object detection networks across multiple real-world datasets. Code will be released (.).

cumulative

實現(xiàn)

Using My Artistic Style? You Must Obtain My Authorization,ASPS requires training only once; during usage, there is no need to see any style transfer models again. Meanwhile, it ensures that the visual quality of the authorized model is unaffected by perturbations. Experimental results demonstrate that our method effectively defends against unauthorized mod

Recessive

大炮

Spline-Based Transformers,ng splines in computer animation, our Spline-based Transformers embed an input sequence of elements as a smooth trajectory in latent space. Overcoming drawbacks of positional encoding such as sequence length extrapolation, Spline-based Transformers also provide a novel way for users to interact with

反復(fù)拉緊

,Learning Pseudo 3D Guidance for?View-Consistent Texturing with?2D Diffusion,text-to-image generation ability of 2D diffusion model has significantly promoted this task, by converting it into a texture optimization process guided by multi-view synthesized images, where the generation of high-quality and multi-view consistency images becomes the key issue. State-of-the-art me

招致