Cover Image

DenoiseGS: Gaussian Reconstruction Model for Burst Denoising

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cheng, Yongsen, Cai, Yuanhao, Zhang, Yulun
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model
by: Liu, Jinpeng, et al.
Published: (2024)

Denoising-GS: Gaussian Splatting with Spatial-aware Denoising
by: Zhou, Qingyuan, et al.
Published: (2026)

Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction
by: Cai, Yuanhao, et al.
Published: (2024)

Flow-Matching Guided Deep Unfolding for Hyperspectral Image Reconstruction
by: Ai, Yi, et al.
Published: (2025)

Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction
by: Wu, Yulun, et al.
Published: (2026)

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
by: Cai, Yuanhao, et al.
Published: (2024)

Xformer: Hybrid X-Shaped Transformer for Image Denoising
by: Zhang, Jiale, et al.
Published: (2023)

DenoiseRep: Denoising Model for Representation Learning
by: Xu, Zhengrui, et al.
Published: (2024)

Diffusion-Denoised Hyperspectral Gaussian Splatting
by: Narayanan, Sunil Kumar, et al.
Published: (2025)

Back to Basics: Let Denoising Generative Models Denoise
by: Li, Tianhong, et al.
Published: (2025)

ROODI: Reconstructing Occluded Objects with Denoising Inpainters
by: Chang, Yeonjin, et al.
Published: (2025)

Directly Denoising Diffusion Models
by: Zhang, Dan, et al.
Published: (2024)

FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency
by: Huang, Han, et al.
Published: (2025)

DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
by: Yang, Sidi, et al.
Published: (2025)

DenoiseSplat: Feed-Forward Gaussian Splatting for Noisy 3D Scene Reconstruction
by: Jiang, Fuzhen, et al.
Published: (2026)

GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
by: Li, Xinhai, et al.
Published: (2023)

BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models
by: Sun, Chengkun, et al.
Published: (2024)

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
by: Zhang, Kai, et al.
Published: (2024)

X$^{2}$-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic Reconstruction
by: Yu, Weihao, et al.
Published: (2025)

Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval
by: Liu, Weijia, et al.
Published: (2025)

Denoising Diffusion Step-aware Models
by: Yang, Shuai, et al.
Published: (2023)

Optimizing for the Shortest Path in Denoising Diffusion Model
by: Chen, Ping, et al.
Published: (2025)

Diffusion Priors for Variational Likelihood Estimation and Image Denoising
by: Cheng, Jun, et al.
Published: (2024)

OmniGS: Fast Radiance Field Reconstruction using Omnidirectional Gaussian Splatting
by: Li, Longwei, et al.
Published: (2024)

TransmissiveGS: Residual-Guided Disentangled Gaussian Splatting for Transmissive Scene Reconstruction and Rendering
by: Liang, Zhenyu, et al.
Published: (2026)

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising
by: Oh, Youngjin, et al.
Published: (2025)

Denoising Vision Transformers
by: Yang, Jiawei, et al.
Published: (2024)

Mesh Denoising Transformer
by: Zhao, Wenbo, et al.
Published: (2024)

UHD-GPGNet: UHD Video Denoising via Gaussian-Process-Guided Local Spatio-Temporal Modeling
by: He, Weiyuan, et al.
Published: (2026)

Fréchet Denoised Distance: Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder
by: Fan, Jiajie, et al.
Published: (2024)

Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising
by: Chang, Gengjia, et al.
Published: (2026)

DARK: Denoising, Amplification, Restoration Kit
by: Li, Zhuoheng, et al.
Published: (2024)

Is Noise Conditioning Necessary for Denoising Generative Models?
by: Sun, Qiao, et al.
Published: (2025)

Anomaly Detection with Conditioned Denoising Diffusion Models
by: Mousakhan, Arian, et al.
Published: (2023)

Denoising Monte Carlo Renders with Diffusion Models
by: Vavilala, Vaibhav, et al.
Published: (2024)

DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
by: Shen, Yingjun, et al.
Published: (2024)

Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction
by: Kim, Jin Hyeon, et al.
Published: (2026)

DynaSurfGS: Dynamic Surface Reconstruction with Planar-based Gaussian Splatting
by: Cai, Weiwei, et al.
Published: (2024)

Real Noise Decoupling for Hyperspectral Image Denoising
by: Zhang, Yingkai, et al.
Published: (2025)

Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration
by: Cheng, Xinlong, et al.
Published: (2024)