:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sonthalia, Rishi, Nadakuditi, Raj Rao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2510.17120
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
by: Li, Dongzhuo
Published: (2021)

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment
by: Kodali, Radha, et al.
Published: (2025)

iWatchRoadv2: Pothole Detection, Geospatial Mapping, and Intelligent Road Governance
by: Sahoo, Rishi Raj, et al.
Published: (2025)

iWatchRoad: Scalable Detection and Geospatial Visualization of Potholes for Smart Cities
by: Sahoo, Rishi Raj, et al.
Published: (2025)

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
by: Haselhoff, Anselm, et al.
Published: (2024)

Training-Free Vector Quantization via Gaussian VAEs
by: Xu, Tongda, et al.
Published: (2025)

FreeGaussian: Annotation-free Control of Articulated Objects via 3D Gaussian Splats with Flow Derivatives
by: Chen, Qizhi, et al.
Published: (2024)

DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
by: Wang, Yihao, et al.
Published: (2024)

Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
by: Zhang, Youjia, et al.
Published: (2025)

SparseGS: Real-Time 360° Sparse View Synthesis using Gaussian Splatting
by: Xiong, Haolin, et al.
Published: (2023)

Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
by: Hwang, Jisung, et al.
Published: (2025)

Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient
by: Lu, Weiguo, et al.
Published: (2024)

Generative Autoencoding of Dropout Patterns
by: Maeda, Shunta
Published: (2023)

Curvature-Regularized Variational Autoencoder for 3D Scene Reconstruction from Sparse Depth
by: Yousefi, Maryam, et al.
Published: (2025)

A Controllable 3D Deepfake Generation Framework with Gaussian Splatting
by: Liu, Wending, et al.
Published: (2025)

ICE-G: Image Conditional Editing of 3D Gaussian Splats
by: Jaganathan, Vishnu, et al.
Published: (2024)

Retrieval-Augmented Gaussian Avatars: Improving Expression Generalization
by: Levy, Matan, et al.
Published: (2026)

PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
by: Xie, Tianyi, et al.
Published: (2023)

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
by: Ling, Huan, et al.
Published: (2023)

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting
by: Han, Tao, et al.
Published: (2026)

Energy-Regularized Spatial Masking: A Novel Approach to Enhancing Robustness and Interpretability in Vision Models
by: Devynck, Tom, et al.
Published: (2026)

RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness
by: Liu, Zhenyu, et al.
Published: (2025)

Gaussian Mixture Flow Matching Models
by: Chen, Hansheng, et al.
Published: (2025)

Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies
by: Astrid, Marcella, et al.
Published: (2024)

Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
by: Singhal, Rishi, et al.
Published: (2024)

GMM-COMET: Continual Source-Free Universal Domain Adaptation via a Mean Teacher and Gaussian Mixture Model-Based Pseudo-Labeling
by: Schlachter, Pascal, et al.
Published: (2026)

Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
by: Xie, Tianyu, et al.
Published: (2025)

GViT: Representing Images as Gaussians for Visual Recognition
by: Hernandez, Jefferson, et al.
Published: (2025)

Scale-invariant Gaussian derivative residual networks
by: Perzanowski, Andrzej, et al.
Published: (2026)

Epoch-evolving Gaussian Process Guided Learning
by: Cui, Jiabao, et al.
Published: (2020)

Complex-Valued 2D Gaussian Representation for Computer-Generated Holography
by: Zhan, Yicheng, et al.
Published: (2025)

Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization
by: Huang, Yan, et al.
Published: (2025)

IGLU: The Integrated Gaussian Linear Unit Activation Function
by: Kang, Mingi, et al.
Published: (2026)

Eulerian Gaussian Splatting using Hashed Probability Pyramids
by: Polansky, Mia Gaia, et al.
Published: (2026)

Scale-covariant and scale-invariant Gaussian derivative networks
by: Lindeberg, Tony
Published: (2020)

Neural Gaussian Scale-Space Fields
by: Mujkanovic, Felix, et al.
Published: (2024)

PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views
by: Fei, Xin, et al.
Published: (2024)

GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction
by: Zuo, Sicheng, et al.
Published: (2024)

Generalization and Memorization in Rectified Flow
by: Rao, Mingxing, et al.
Published: (2026)

Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space
by: Salmona, Antoine, et al.
Published: (2023)