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Found 10 papers, 6 papers with code
Improving Chinese Character Representation with Formation Tree
This model utilizes formation trees to represent characters and incorporates a dedicated tree encoder, significantly improving performance in both seen and unseen character recognition tasks.
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
Continuous Integration (CI) build failures could significantly impact the software development process and teams, such as delaying the release of new features and reducing developers' productivity.
LLM-Twin: Mini-Giant Model-driven Beyond 5G Digital Twin Networking Framework with Semantic Secure Communication and Computation
However, current DTNs networking frameworks pose a number of challenges especially when applied in scenarios that require high communication efficiency and multimodal data processing.
MetaHead: An Engine to Create Realistic Digital Head
Experiments validate that our controllable digital head engine achieves the state-of-the-art generation visual quality and reconstruction accuracy.
Reconstructing Personalized Semantic Facial NeRF Models From Monocular Video
We present a novel semantic model for human head defined with neural radiance field.
SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video
Meanwhile, the explicit mesh is updated periodically to adjust its topology changes, and a consistency loss is designed to match both representations.
HeadNeRF: A Real-time NeRF-based Parametric Head Model
Different from existing related parametric models, we use the neural radiance fields as a novel 3D proxy instead of the traditional 3D textured mesh, which makes that HeadNeRF is able to generate high fidelity images.
StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision
In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clothed human from a pair of low-cost rectified images.
BCNet: Learning Body and Cloth Shape from A Single Image
In this paper, we consider the problem to automatically reconstruct garment and body shapes from a single near-front view RGB image.
Static/Dynamic Filtering for Mesh Geometry
Extensive experimental results demonstrate the effectiveness of the proposed filter for various geometry processing applications such as mesh denoising, geometry feature enhancement, and texture color filtering.
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