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Found 16 papers, 2 papers with code
NASM: Neural Anisotropic Surface Meshing
To our knowledge, this is the first time that a deep learning framework and a large dataset are proposed to construct a high-d Euclidean embedding space for 3D anisotropic surface meshing.
DiffTED: One-shot Audio-driven TED Talk Video Generation with Diffusion-based Co-speech Gestures
Audio-driven talking video generation has advanced significantly, but existing methods often depend on video-to-video translation techniques and traditional generative networks like GANs and they typically generate taking heads and co-speech gestures separately, leading to less coherent outputs.
SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction
However, based on implicit representation, NeRFs struggle to capture the intricate details of objects in the scene and cannot achieve real-time rendering.
HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction
We introduce a data capture system and a new dataset named HO-Cap that can be used to study 3D reconstruction and pose tracking of hands and objects in videos.
CWF: Consolidating Weak Features in High-quality Mesh Simplification
In mesh simplification, common requirements like accuracy, triangle quality, and feature alignment are often considered as a trade-off.
Robust Active Speaker Detection in Noisy Environments
Experiments demonstrate that non-speech audio noises significantly impact ASD models, and our proposed approach improves ASD performance in noisy environments.
DRSM: efficient neural 4d decomposition for dynamic reconstruction in stationary monocular cameras
With the popularity of monocular videos generated by video sharing and live broadcasting applications, reconstructing and editing dynamic scenes in stationary monocular cameras has become a special but anticipated technology.
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation
The generation of emotional talking faces from a single portrait image remains a significant challenge.
MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation
Furthermore, the segmentation accuracy is improved by 2. 4%-5. 5% with the increasing volume of training data.
MusicFace: Music-driven Expressive Singing Face Synthesis
In this paper, we present a method for this task with natural motions of the lip, facial expression, head pose, and eye states.
Layered-Garment Net: Generating Multiple Implicit Garment Layers from a Single Image
To the best of our knowledge, LGN is the first research work to generate intersection-free multiple layers of garments on the human body from a single image.
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
In this paper, we propose a talking face generation method that takes an audio signal as input and a short target video clip as reference, and synthesizes a photo-realistic video of the target face with natural lip motions, head poses, and eye blinks that are in-sync with the input audio signal.
Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction
In the classic volumetric fusion-based framework, a mesh is usually extracted from the TSDF volume as the canonical surface representation to help estimating deformation field.
Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes
We present a novel approach to reconstruct RGB-D indoor scene with plane primitives.
Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction
We propose a novel approach to reconstruct RGB-D indoor scene based on plane primitives.
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera
This paper proposes a real-time dynamic scene reconstruction method capable of reproducing the motion, geometry, and segmentation simultaneously given live depth stream from a single RGB-D camera.
