Results 131 to 140 of about 27,120,773 (181)
Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik +6 more
wiley +1 more source
See4D: Pose‐Free 4D Generation via Auto‐Regressive Video Inpainting
Abstract Immersive applications call for synthesizing spatiotemporal 4D content from casual videos without costly 3D supervision. Existing video‐to‐4D methods typically rely on manually annotated camera poses, which are labor‐intensive and brittle for in‐the‐wild footage.
Dongyue Lu +10 more
wiley +1 more source
Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev +14 more
wiley +1 more source
UrbanClipAtlas: A Visual Analytics Framework for Event and Scene Retrieval in Urban Videos
Abstract Extracting actionable insights from long‐duration urban videos is often labor‐intensive: analysts must manually sift through raw footage to pinpoint target events or uncover broader behavioral trends. In this work, we present UrbanClipAtlas, a visual analytics system for exploring long urban videos recorded at street intersections ...
Joel Perca +5 more
wiley +1 more source
A Theoretical Approach for Structuring and Analysing Knowledge Provenance for Visual Analytics
VAKG unfolds the interactions within the current knowledge model (A) into a temporal knowledge graph (B), which is structured as a 4‐way graph containing two temporal (green) and two static (yellow) knowledge graphs. By using VAKG, one can structure and store the user's knowledge‐gathering process and all related interactions for eventual analysis (C).
L. Christino +3 more
wiley +1 more source
Attention Based Optimization for 3D Shape Registration
Abstract Transformers are sequence‐to‐sequence architectures originally designed to handle structurally rigid and order‐sensitive data, such as text and images. At their core, they exploit the attention mechanism, which is permutation‐equivariant and relies on computing token‐to‐token relationships.
A. Riva, L. Olearo, S. Melzi
wiley +1 more source
CuRast: Cuda‐Based Software Rasterization for Billions of Triangles
Abstract This paper presents a CUDA‐based software rasterizer capable of rendering up to a billion unique triangles, or up to 4 billion instanced triangles, in real time at 60 fps on an RTX 5090. By specifically targeting dense, opaque meshes, our approach is able to outperform the native GPU rasterization pipeline in these scenarios.
M. Schütz +3 more
wiley +1 more source
FlowGS: Controlling Information Flow for Graph‐Based Interaction in 3D Gaussian Splatting
Abstract 3D Gaussian Splatting (3DGS) has recently enabled real‐time, high‐quality novel view synthesis. However, its formulation treats each Gaussian independently, lacking explicit information exchange between neighboring elements and limiting its ability to capture local structure.
T. Jia, R. Sun, W. Shi
wiley +1 more source
Advances in 4D Representation: Geometry, Motion, and Interaction
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao +7 more
wiley +1 more source
Survey on Compositional 3D Indoor Scene Generation
This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam +7 more
wiley +1 more source

