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20052026
most citedReducing the Memory Footprint of 3D Gaussian Splatting

114 citations

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12 papers · 1 filter

cs.CV2025

ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion

Nissim Maruani, Wang Yifan, Matthew Fisher +2

This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize shape variations based on a single reference model. While generative methods for 3D objects ha…

cs.CV2024★ 1 cited

CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models

Aymene Mohammed Bouayed, Samuel Deslauriers-Gauthier, Adrian Iaccovelli +1

Interpreting the decisions of Convolutional Neural Networks (CNNs) is essential for understanding their behavior, yet explainability remains a significant challenge, particularly f…

cs.CV2024

Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?

Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi +5

Tri-Planar NeRFs enable the application of powerful 2D vision models for 3D tasks, by representing 3D objects using 2D planar structures. This has made them the prevailing choice t…

cs.CV2024

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi +5

While pre-trained image autoencoders are increasingly utilized in computer vision, the application of inverse graphics in 2D latent spaces has been under-explored. Yet, besides red…

cs.CV2024★ 17 cited

A Diffusion Approach to Radiance Field Relighting using Multi-Illumination Synthesis

Yohan Poirier-Ginter, Alban Gauthier, Julien Philip +2

Relighting radiance fields is severely underconstrained for multi-view data, which is most often captured under a single illumination condition; It is especially hard for full scen…

cs.CV2024★ 114 cited

Reducing the Memory Footprint of 3D Gaussian Splatting

Panagiotis Papantonakis, Georgios Kopanas, Bernhard Kerbl +2

3D Gaussian splatting provides excellent visual quality for novel view synthesis, with fast training and real-time rendering; unfortunately, the memory requirements of this method…

cs.CV2024

PoNQ: a Neural QEM-based Mesh Representation

Nissim Maruani, Maks Ovsjanikov, Pierre Alliez +1

Although polygon meshes have been a standard representation in geometry processing, their irregular and combinatorial nature hinders their suitability for learning-based applicatio…

cs.CV2024

Visual Objectification in Films: Towards a New AI Task for Video Interpretation

Julie Tores, Lucile Sassatelli, Hui-Yin Wu +8

In film gender studies, the concept of 'male gaze' refers to the way the characters are portrayed on-screen as objects of desire rather than subjects. In this article, we introduce…

cs.CV2023

LAC: Latent Action Composition for Skeleton-based Action Segmentation

Di Yang, Yaohui Wang, Antitza Dantcheva +4

Skeleton-based action segmentation requires recognizing composable actions in untrimmed videos. Current approaches decouple this problem by first extracting local visual features f…

cs.CV2023★ 41 cited

Learning Invariance from Generated Variance for Unsupervised Person Re-identification

Hao Chen, Yaohui Wang, Benoit Lagadec +2

This work focuses on unsupervised representation learning in person re-identification (ReID). Recent self-supervised contrastive learning methods learn invariance by maximizing the…

cs.CV2022★ 38 cited

Vision-Based Defect Classification and Weight Estimation of Rice Kernels

Xiang Wang, Kai Wang, Xiaohong Li +1

Rice is one of the main staple food in many areas of the world. The quality estimation of rice kernels are crucial in terms of both food safety and socio-economic impact. This was…

cs.CV2022★ 38 cited

Saliency-Driven Active Contour Model for Image Segmentation

Ehtesham Iqbal, Asim Niaz, Asif Aziz Memon +2

Active contour models have achieved prominent success in the area of image segmentation, allowing complex objects to be segmented from the background for further analysis. Existing…