Cover Image

Dependency-Aware Discrete Diffusion for Scene Graph Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rajagopalan, Rajalaxmi, Choudhury, Romit Roy
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Personalized Image Generation via Human-in-the-loop Bayesian Optimization
by: Rajagopalan, Rajalaxmi, et al.
Published: (2026)

Steer Away From Mode Collisions: Improving Composition In Diffusion Models
by: Dutta, Debottam, et al.
Published: (2025)

Discrete Langevin-Inspired Posterior Sampling
by: Amballa, Chaitanya, et al.
Published: (2026)

Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers
by: Karnoor, Sahil Bhandary, et al.
Published: (2025)

Kernel Learning for Sample Constrained Black-Box Optimization
by: Rajagopalan, Rajalaxmi, et al.
Published: (2025)

Contrastive Diffusion Guidance for Spatial Inverse Problems
by: Basu, Sattwik, et al.
Published: (2025)

Sample-Constrained Black Box Optimization for Audio Personalization
by: Rajagopalan, Rajalaxmi, et al.
Published: (2025)

Learning Energy-based Variational Latent Prior for VAEs
by: Dutta, Debottam, et al.
Published: (2025)

EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion
by: Zhai, Guangyao, et al.
Published: (2024)

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers
by: Srivastava, Divyansh, et al.
Published: (2025)

Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models
by: Venkatesh, Danush Kumar, et al.
Published: (2024)

EGTR: Extracting Graph from Transformer for Scene Graph Generation
by: Im, Jinbae, et al.
Published: (2024)

Symbol-Aware Reasoning with Masked Discrete Diffusion for Handwritten Mathematical Expression Recognition
by: Kawakatsu, Takaya, et al.
Published: (2026)

Unbiased Scene Graph Generation from Biased Training
by: Tang, Kaihua, et al.
Published: (2020)

Salient Temporal Encoding for Dynamic Scene Graph Generation
by: Zhu, Zhihao
Published: (2025)

A Review and Efficient Implementation of Scene Graph Generation Metrics
by: Lorenz, Julian, et al.
Published: (2024)

SurGrID: Controllable Surgical Simulation via Scene Graph to Image Diffusion
by: Frisch, Yannik, et al.
Published: (2025)

Localized PCA-Net Neural Operators for Scalable Solution Reconstruction of Elliptic PDEs
by: Dhingra, Mrigank, et al.
Published: (2025)

Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
by: Hu, Minghui, et al.
Published: (2021)

GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
by: Oganov, Aleksandr, et al.
Published: (2025)

SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation
by: Chereddy, Sathvik, et al.
Published: (2025)

DepMicroDiff: Diffusion-Based Dependency-Aware Multimodal Imputation for Microbiome Data
by: Sadia, Rabeya Tus, et al.
Published: (2025)

Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation
by: Ha, SeungBum, et al.
Published: (2024)

A Fair Ranking and New Model for Panoptic Scene Graph Generation
by: Lorenz, Julian, et al.
Published: (2024)

DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion
by: Wang, Zixiao, et al.
Published: (2025)

Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD
by: Hoogeboom, Emiel, et al.
Published: (2026)

Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model
by: Shi, Qingyu, et al.
Published: (2025)

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
by: He, Xiaoxiao, et al.
Published: (2024)

Environment-Aware Satellite Image Generation with Diffusion Models
by: Kostagiolas, Nikos, et al.
Published: (2025)

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation
by: Ruschel, Raphael, et al.
Published: (2024)

Generate Any Scene: Scene Graph Driven Data Synthesis for Visual Generation Training
by: Gao, Ziqi, et al.
Published: (2024)

Split Gibbs Discrete Diffusion Posterior Sampling
by: Chu, Wenda, et al.
Published: (2025)

Scale-Wise VAR is Secretly Discrete Diffusion
by: Kumar, Amandeep, et al.
Published: (2025)

GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs
by: Gao, Gege, et al.
Published: (2023)

ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding
by: Pham, Quang P. M., et al.
Published: (2024)

Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching
by: Liu, Minghao, et al.
Published: (2024)

Graph Neural Networks for Surgical Scene Segmentation
by: Li, Yihan, et al.
Published: (2025)

EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations
by: Yao, Yue, et al.
Published: (2025)

MP-GFormer: A 3D-Geometry-Aware Dynamic Graph Transformer Approach for Machining Process Planning
by: Elhambakhsh, Fatemeh, et al.
Published: (2025)

SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
by: Wang, Chuhan, et al.
Published: (2026)