activity
20232026
most citedCrossGen: Learning and Generating Cross Fields for Quad Meshing

3 citations · 3 across the 7 of their papers we have counts for

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cs.CV2026

Prompting Image Generators for Training-free Primitive Shape Abstraction

Gregor Kobsik, Tim Elsner, Leif Kobbelt

Compact primitive abstractions represent 3D shapes with a few geometric primitives while preserving recognizable components. Learned methods depend on their training classes, and o…

cs.CV2025

Learning Fine-to-Coarse Cuboid Shape Abstraction

Gregor Kobsik, Morten Henkel, Yanjiang He +4

The abstraction of 3D objects with simple geometric primitives like cuboids allows to infer structural information from complex geometry. It is important for 3D shape understanding…

cs.CV2024

Multidimensional Byte Pair Encoding: Shortened Sequences for Improved Visual Data Generation

Tim Elsner, Paula Usinger, Julius Nehring-Wirxel +5

In language processing, transformers benefit greatly from text being condensed. This is achieved through a larger vocabulary that captures word fragments instead of plain character…

cs.CV2024

Quantised Global Autoencoder: A Holistic Approach to Representing Visual Data

Tim Elsner, Paula Usinger, Victor Czech +4

In quantised autoencoders, images are usually split into local patches, each encoded by one token. This representation is redundant in the sense that the same number of tokens is s…

cs.CV2024

4Dynamic: Text-to-4D Generation with Hybrid Priors

Yu-Jie Yuan, Leif Kobbelt, Jiwen Liu +4

Due to the fascinating generative performance of text-to-image diffusion models, growing text-to-3D generation works explore distilling the 2D generative priors into 3D, using the…

cs.CV2024

DeferredGS: Decoupled and Editable Gaussian Splatting with Deferred Shading

Tong Wu, Jia-Mu Sun, Yu-Kun Lai +3

Reconstructing and editing 3D objects and scenes both play crucial roles in computer graphics and computer vision. Neural radiance fields (NeRFs) can achieve realistic reconstructi…

cs.CV2023

Retargeting Visual Data with Deformation Fields

Tim Elsner, Julia Berger, Tong Wu +3

Seam carving is an image editing method that enable content-aware resizing, including operations like removing objects. However, the seam-finding strategy based on dynamic programm…