Search Results for author: Bedrich Benes

Found 15 papers, 2 papers with code

LAESI: Leaf Area Estimation with Synthetic Imagery

no code implementations31 Mar 2024 Jacek Kałużny, Yannik Schreckenberg, Karol Cyganik, Peter Annighöfer, Sören Pirk, Dominik L. Michels, Mikolaj Cieslak, Farhah Assaad-Gerbert, Bedrich Benes, Wojciech Pałubicki

We introduce LAESI, a Synthetic Leaf Dataset of 100, 000 synthetic leaf images on millimeter paper, each with semantic masks and surface area labels.

Semantic Segmentation

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

no code implementations26 Dec 2023 Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera

We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS).

Novel View Synthesis Representation Learning

DeepTree: Modeling Trees with Situated Latents

no code implementations9 May 2023 Xiaochen Zhou, Bosheng Li, Bedrich Benes, Songlin Fei, Sören Pirk

We use a neural network pipeline to train a situated latent space that allows us to locally predict branch growth only based on a single node in the branch graph of a tree model.

StyleDEM: a Versatile Model for Authoring Terrains

no code implementations19 Apr 2023 Simon Perche, Adrien Peytavie, Bedrich Benes, Eric Galin, Eric Guérin

We introduce StyleDEM, a new generative adversarial network method for terrain synthesis and authoring, with a versatile toolbox of authoring methods with style.

Generative Adversarial Network Super-Resolution

SnakeVoxFormer: Transformer-based Single Image\\Voxel Reconstruction with Run Length Encoding

no code implementations28 Mar 2023 Jae Joong Lee, Bedrich Benes

The key novelty of our approach is in using the run-length encoding that traverses (like a snake) the voxel space and encodes wide spatial differences into a 1D structure that is suitable for transformer encoding.

3D Object Reconstruction Data Compression

PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing

no code implementations CVPR 2023 Yichen Sheng, Jianming Zhang, Julien Philip, Yannick Hold-Geoffroy, Xin Sun, He Zhang, Lu Ling, Bedrich Benes

To compensate for the lack of geometry in 2D Image compositing, recent deep learning-based approaches introduced a pixel height representation to generate soft shadows and reflections.

Tree Instance Segmentation With Temporal Contour Graph

no code implementations CVPR 2023 Adnan Firoze, Cameron Wingren, Raymond A. Yeh, Bedrich Benes, Daniel Aliaga

We present a novel approach to perform instance segmentation, and counting, for densely packed self-similar trees using a top-view RGB image sequence.

Benchmarking Instance Segmentation +2

Controllable Shadow Generation Using Pixel Height Maps

no code implementations12 Jul 2022 Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Oztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes

It can be used to calculate hard shadows in a 2D image based on the projective geometry, providing precise control of the shadows' direction and shape.

Co-design of Embodied Neural Intelligence via Constrained Evolution

no code implementations21 May 2022 Zhiquan Wang, Bedrich Benes, Ahmed H. Qureshi, Christos Mousas

The agent is then randomly modified within the allowed ranges creating a new generation of several hundred agents.

Procedural Urban Forestry

no code implementations12 Aug 2020 Till Niese, Sören Pirk, Matthias Albrecht, Bedrich Benes, Oliver Deussen

The placement of vegetation plays a central role in the realism of virtual scenes.

SSN: Soft Shadow Network for Image Compositing

1 code implementation CVPR 2021 Yichen Sheng, Jianming Zhang, Bedrich Benes

We demonstrate that our model produces realistic soft shadows in real-time.

Efficient Project Gradient Descent for Ensemble Adversarial Attack

1 code implementation7 Jun 2019 Fanyou Wu, Rado Gazo, Eva Haviarova, Bedrich Benes

Consider $l_2$ norms attacks, Project Gradient Descent (PGD) and the Carlini and Wagner (C\&W) attacks are the two main methods, where PGD control max perturbation for adversarial examples while C\&W approach treats perturbation as a regularization term optimized it with loss function together.

Adversarial Attack

Understanding and Exploiting Object Interaction Landscapes

no code implementations27 Sep 2016 Sören Pirk, Vojtech Krs, Kaimo Hu, Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Yusuke Yoshiyasu, Leonidas J. Guibas

We introduce a new general representation for proximal interactions among physical objects that is agnostic to the type of objects or interaction involved.

Object

Procedural Editing of 3D Building Point Clouds

no code implementations ICCV 2015 Ilke Demir, Daniel G. Aliaga, Bedrich Benes

Thanks to the recent advances in computational photography and remote sensing, point clouds of buildings are becoming increasingly available, yet their processing poses various challenges.

Point Cloud Completion Template Matching

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