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Found 7 papers, 6 papers with code
Surfer: Progressive Reasoning with World Models for Robotic Manipulation
To conduct a comprehensive and systematic evaluation of the robot manipulation model in terms of language understanding and physical execution, we also created a robotic manipulation benchmark with progressive reasoning tasks, called SeaWave.
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty
For THA, it is of clinical significance to analyze the bone structure from the CT images, especially to observe the structure of the acetabulum and femoral head, before the surgical procedure.
Towards Interactive Image Inpainting via Sketch Refinement
To address this problem, we propose a two-stage image inpainting method termed SketchRefiner.
Customized Segment Anything Model for Medical Image Segmentation
Different from the previous methods, SAMed is built upon the large-scale image segmentation model, Segment Anything Model (SAM), to explore the new research paradigm of customizing large-scale models for medical image segmentation.
Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting
Transformers have been widely used for video processing owing to the multi-head self attention (MHSA) mechanism.
Ranked #1 on
Video Inpainting
on DAVIS
(SSIM (square) metric)
Flow-Guided Transformer for Video Inpainting
Especially in spatial transformer, we design a dual perspective spatial MHSA, which integrates the global tokens to the window-based attention.
Inertia-Guided Flow Completion and Style Fusion for Video Inpainting
We propose a flow completion network to align and aggregate flow features from the consecutive flow sequences based on the inertia prior.
