6 citations · 6 across the 11 of their papers we have counts for
14 papers · 1 filter
Multi-View Face and Gesture Animation with Dynamic Gaussians
Alireza Javanmardi, Vippin Kumar Jeetmal, Christen Millerdurai +2
Creating photorealistic 3D human avatars with realistic upper-body motion remains challenging. Existing approaches either focus on the head and overlook hand gestures, or reconstru…
EgoForce: Forearm-Guided Camera-Space 3D Hand Pose from a Monocular Egocentric Camera
Christen Millerdurai, Shaoxiang Wang, Yaxu Xie +3
Reconstructing the absolute 3D pose and shape of the hands from the user's viewpoint using a single head-mounted camera is crucial for practical egocentric interaction in AR/VR, te…
ReLaGS: Relational Language Gaussian Splatting
Yaxu Xie, Abdalla Arafa, Alireza Javanmardi +5
Achieving unified 3D perception and reasoning across tasks such as segmentation, retrieval, and relation understanding remains challenging, as existing methods are either object-ce…
GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures
Patrick Noras, Jun Myeong Choi, Didier Stricker +2
Recent advances in Gaussian Splatting-based inverse rendering extend Gaussian primitives with shading parameters and physically grounded light transport, enabling high-quality mate…
TalkingPose: Efficient Face and Gesture Animation with Feedback-guided Diffusion Model
Alireza Javanmardi, Pragati Jaiswal, Tewodros Amberbir Habtegebrial +4
Recent advancements in diffusion models have significantly improved the realism and generalizability of character-driven animation, enabling the synthesis of high-quality motion fr…
Inpaint360GS: Efficient Object-Aware 3D Inpainting via Gaussian Splatting for 360° Scenes
Shaoxiang Wang, Shihong Zhang, Christen Millerdurai +3
Despite recent advances in single-object front-facing inpainting using NeRF and 3D Gaussian Splatting (3DGS), inpainting in complex 360° scenes remains largely underexplored. This…
Beyond Averages: Open-Vocabulary 3D Scene Understanding with Gaussian Splatting and Bag of Embeddings
Abdalla Arafa, Didier Stricker
Novel view synthesis has seen significant advancements with 3D Gaussian Splatting (3DGS), enabling real-time photorealistic rendering. However, the inherent fuzziness of Gaussian S…
EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera
Christen Millerdurai, Hiroyasu Akada, Jian Wang +5
Monocular egocentric 3D human motion capture remains a significant challenge, particularly under conditions of low lighting and fast movements, which are common in head-mounted dev…
Object-Centric 2D Gaussian Splatting: Background Removal and Occlusion-Aware Pruning for Compact Object Models
Marcel Rogge, Didier Stricker
Current Gaussian Splatting approaches are effective for reconstructing entire scenes but lack the option to target specific objects, making them computationally expensive and unsui…
3D Spatial Understanding in MLLMs: Disambiguation and Evaluation
Chun-Peng Chang, Alain Pagani, Didier Stricker
Multimodal Large Language Models (MLLMs) have made significant progress in tasks such as image captioning and question answering. However, while these models can generate realistic…
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction
Shaoxiang Wang, Yaxu Xie, Chun-Peng Chang +3
Neural implicit fields have recently emerged as a powerful representation method for multi-view surface reconstruction due to their simplicity and state-of-the-art performance. How…
G3FA: Geometry-guided GAN for Face Animation
Alireza Javanmardi, Alain Pagani, Didier Stricker
Animating human face images aims to synthesize a desired source identity in a natural-looking way mimicking a driving video's facial movements. In this context, Generative Adversar…
SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
Yaxu Xie, Alain Pagani, Didier Stricker
Scene graphs have been recently introduced into 3D spatial understanding as a comprehensive representation of the scene. The alignment between 3D scene graphs is the first step of…
MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding
Chun-Peng Chang, Shaoxiang Wang, Alain Pagani +1
3D visual grounding involves matching natural language descriptions with their corresponding objects in 3D spaces. Existing methods often face challenges with accuracy in object re…