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Found 18 papers, 3 papers with code
DeferredGS: Decoupled and Editable Gaussian Splatting with Deferred Shading
To address these issues, we introduce DeferredGS, a method for decoupling and editing the Gaussian splatting representation using deferred shading.
Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches
To our knowledge, we are the first to propose a self-supervised data-driven method for partial extrinsic symmetry detection.
Retargeting Visual Data with Deformation Fields
Seam carving is an image editing method that enable content-aware resizing, including operations like removing objects.
Neural Implicit Shape Editing using Boundary Sensitivity
Furthermore, we show how boundary sensitivity helps to optimize and constrain objectives (such as surface area and volume), which are difficult to compute without first converting to another representation, such as a mesh.
Adaptive Voronoi NeRFs
Neural Radiance Fields (NeRFs) learn to represent a 3D scene from just a set of registered images.
Localized Latent Updates for Fine-Tuning Vision-Language Models
Although massive pre-trained vision-language models like CLIP show impressive generalization capabilities for many tasks, still it often remains necessary to fine-tune them for improved performance on specific datasets.
Intuitive Shape Editing in Latent Space
We evaluate our method by comparing to state-of-the-art data-driven shape editing methods.
Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences
Autoregressive models have proven to be very powerful in NLP text generation tasks and lately have gained popularity for image generation as well.
3D Shape Generation with Grid-based Implicit Functions
To remedy these issues, we propose to train the GAN on grids (i. e. each cell covers a part of a shape).
Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess
The research project HDV-Mess aims at a currently missing, but very crucial component for addressing important challenges in the field of connected and automated driving on public roads.
Fast Exact Booleans for Iterated CSG using Octree-Embedded BSPs
We present octree-embedded BSPs, a volumetric mesh data structure suited for performing a sequence of Boolean operations (iterated CSG) efficiently.
Computational Geometry Graphics
SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform
Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications.
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
In this paper, we present a novel learning framework to automatically discover global planar reflective symmetry of a 3D shape.
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
In addition, we show that careful sampling is important both for the input geometry and in our point cloud generation process to improve results.
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes
The question of representation of 3D geometry is of vital importance when it comes to leveraging the recent advances in the field of machine learning for geometry processing tasks.
Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks
We present a data-driven approach to reconstructing high-resolution and detailed volumetric representations of 3D shapes.
Sparse Data Driven Mesh Deformation
This along with a suitably chosen deformation basis including spatially localized deformation modes leads to significant advantages, including more meaningful, reliable, and efficient deformations because fewer and localized deformation modes are applied.
Graphics
Efficient Computation of Shortest Path-Concavity for 3D Meshes
Lien et al. [16] proposed two point-wise concavity measures in the context of Approximate Convex Decompositions of polygons measuring the distance from a point to the polygon's convex hull: an accurate Shortest Path-Concavity (SPC) measure and a Straight Line-Concavity (SLC) approximation of the same.
