Search Results for author:
Found 21 papers, 5 papers with code
HORT: Monocular Hand-held Objects Reconstruction with Transformers
To address these limitations, we propose a transformer-based model to efficiently reconstruct dense 3D point clouds of hand-held objects.
Arc2Avatar: Generating Expressive 3D Avatars from a Single Image via ID Guidance
Inspired by the effectiveness of 3D Gaussian Splatting (3DGS) in reconstructing detailed 3D scenes within multi-view setups and the emergence of large 2D human foundation models, we introduce Arc2Avatar, the first SDS-based method utilizing a human face foundation model as guidance with just a single image as input.
HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos
We propose to decouple the task by reconstructing the hand motion in the camera space and estimating the camera trajectory in the world coordinate system.
Signs as Tokens: An Autoregressive Multilingual Sign Language Generator
Most existing approaches treat SLG as a visual content generation task, employing techniques such as diffusion models to produce sign videos, 2D keypoints, or 3D avatars based on text inputs, overlooking the linguistic properties of sign languages.
ZeroGS: Training 3D Gaussian Splatting from Unposed Images
While previous methods can reconstruct from a few unposed images, they are not applicable when images are unordered or densely captured.
WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild
In recent years, 3D hand pose estimation methods have garnered significant attention due to their extensive applications in human-computer interaction, virtual reality, and robotics.
Ranked #1 on
3D Hand Pose Estimation
on HO-3D v2
SAGS: Structure-Aware 3D Gaussian Splatting
In this work, we propose a structure-aware Gaussian Splatting method (SAGS) that implicitly encodes the geometry of the scene, which reflects to state-of-the-art rendering performance and reduced storage requirements on benchmark novel-view synthesis datasets.
Design2Cloth: 3D Cloth Generation from 2D Masks
In recent years, there has been a significant shift in the field of digital avatar research, towards modeling, animating and reconstructing clothed human representations, as a key step towards creating realistic avatars.
ShapeFusion: A 3D diffusion model for localized shape editing
In the realm of 3D computer vision, parametric models have emerged as a ground-breaking methodology for the creation of realistic and expressive 3D avatars.
AnimateMe: 4D Facial Expressions via Diffusion Models
Recent advances in diffusion models have notably enhanced the capabilities of generative models in 2D animation.
Locally Adaptive Neural 3D Morphable Models
We present the Locally Adaptive Morphable Model (LAMM), a highly flexible Auto-Encoder (AE) framework for learning to generate and manipulate 3D meshes.
Neural Sign Actors: A diffusion model for 3D sign language production from text
Sign Languages (SL) serve as the primary mode of communication for the Deaf and Hard of Hearing communities.
ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis
This paper introduces the Imperial Light-Stage Head (ILSH) dataset, a novel light-stage-captured human head dataset designed to support view synthesis academic challenges for human heads.
Multimodal brain age estimation using interpretable adaptive population-graph learning
We further show that the assigned attention scores indicate that there are both imaging and non-imaging phenotypes that are informative for brain age estimation and are in agreement with the relevant literature.
Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model
Currently, most of the state-of-the-art reconstruction and pose estimation methods rely on the low polygon MANO model.
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation
To address such limitations and alleviate the computational burden, we propose a learnable network to approximate geodesic paths.
Neural Mesh Simplification
Then, we train a sparse attention network to propose candidate triangles based on the edge connectivity of the sampled vertices.
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach
In an attempt to alleviate this computational burden, we propose a fast point cloud simplification method by learning to sample salient points.
A Robust Deep Ensemble Classifier for Figurative Language Detection
Recognition and classification of Figurative Language (FL) is an open problem of Sentiment Analysis in the broader field of Natural Language Processing (NLP) due to the contradictory meaning contained in phrases with metaphorical content.
Learning to Generate Customized Dynamic 3D Facial Expressions
To this end, in this study we employ a deep mesh encoder-decoder like architecture to synthesize realistic high resolution facial expressions by using a single neutral frame along with an expression identification.
A Transformer-based approach to Irony and Sarcasm detection
Figurative Language (FL) seems ubiquitous in all social-media discussion forums and chats, posing extra challenges to sentiment analysis endeavors.
