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Found 10 papers, 1 papers with code
Insightful Instance Features for 3D Instance Segmentation
Recent 3D Instance Segmentation methods typically encode hundreds of instance-wise candidates with instance-specific information in various ways and refine them into final masks.
FaceShield: Defending Facial Image against Deepfake Threats
The rising use of deepfakes in criminal activities presents a significant issue, inciting widespread controversy.
Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
We present PiMForce, a novel framework that enhances hand pressure estimation by leveraging 3D hand posture information to augment forearm surface electromyography (sEMG) signals.
Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior
While recent 3D instance segmentation approaches show promising results based on transformer architectures they often fail to correctly identify instances with similar appearances.
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3D Instance Segmentation
on STPLS3D
FPANet: Frequency-based Video Demoireing using Frame-level Post Alignment
Moire patterns, created by the interference between overlapping grid patterns in the pixel space, degrade the visual quality of images and videos.
LISA: Localized Image Stylization with Audio via Implicit Neural Representation
We present a novel framework, Localized Image Stylization with Audio (LISA) which performs audio-driven localized image stylization.
Robust Sound-Guided Image Manipulation
Our extensive experiments show that our sound-guided image manipulation approach produces semantically and visually more plausible manipulation results than the state-of-the-art text and sound-guided image manipulation methods, which are further confirmed by our human evaluations.
Sound-Guided Semantic Video Generation
The recent success in StyleGAN demonstrates that pre-trained StyleGAN latent space is useful for realistic video generation.
Sound-Guided Semantic Image Manipulation
Our audio encoder is trained to produce a latent representation from an audio input, which is forced to be aligned with image and text representations in the multi-modal embedding space.
Robust Hand Pose Estimation During the Interaction With an Unknown Object
Our main insight is that the shape of an object causes a configuration of the hand in the form of a hand grasp.
