Tackling the Generative Learning Trilemma with Denoising Diffusion GANs | Paper Citation Record

Observation 0f516002-3b44-48c1-9288-7a306d8a37cb · inbound

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning cites this paper.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.782473Z

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Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow cites this paper.

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:17:51.664048Z

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Rectified Flow: A Marginal Preserving Approach to Optimal Transport cites this paper.

Rectified Flow: A Marginal Preserving Approach to Optimal Transport Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:03:13.975794Z

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The Score-Difference Flow for Implicit Generative Modeling cites this paper.

The Score-Difference Flow for Implicit Generative Modeling Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 16

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Observation 95ea3fa9-9d84-49d0-b540-d531d42e522a · inbound

Multi-scale Generative Modeling for Fast Sampling cites this paper.

Multi-scale Generative Modeling for Fast Sampling Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 49

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From Text to Pose to Image: Improving Diffusion Model Control and Quality cites this paper.

From Text to Pose to Image: Improving Diffusion Model Control and Quality Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 20

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Adversarial Diffusion Compression for Real-World Image Super-Resolution cites this paper.

Adversarial Diffusion Compression for Real-World Image Super-Resolution Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 101

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Observation 608e023a-d40e-41dd-89a4-fd358fa72b1d · inbound

DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation cites this paper.

DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 27

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Observation cb549bd1-9620-47e7-b361-cda1a804b641 · inbound

Unpaired Modality Translation for Pseudo Labeling of Histology Images cites this paper.

Unpaired Modality Translation for Pseudo Labeling of Histology Images Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 17

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GMem: A Modular Approach for Ultra-Efficient Generative Models cites this paper.

GMem: A Modular Approach for Ultra-Efficient Generative Models Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 24

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SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training cites this paper.

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 75

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DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization cites this paper.

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:02:41.946971Z

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Diffusion-Based Approaches in Medical Image Generation and Analysis cites this paper.

Diffusion-Based Approaches in Medical Image Generation and Analysis Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 52

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E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models cites this paper.

E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 43

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PQD: Post-training Quantization for Efficient Diffusion Models cites this paper.

PQD: Post-training Quantization for Efficient Diffusion Models Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 40

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The GAN is dead; long live the GAN! A Modern GAN Baseline cites this paper.

The GAN is dead; long live the GAN! A Modern GAN Baseline Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 94

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A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs cites this paper.

A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 38

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Nested Annealed Training Scheme for Generative Adversarial Networks cites this paper.

Nested Annealed Training Scheme for Generative Adversarial Networks Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 25

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Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data cites this paper.

Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 13

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Observation 0e8e0a83-80e6-49cd-9d02-2e3516c69ad8 · inbound

Improved Training Technique for Latent Consistency Models cites this paper.

Improved Training Technique for Latent Consistency Models Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 27

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Conditional diffusion model with spatial attention and latent embedding for medical image segmentation cites this paper.

Conditional diffusion model with spatial attention and latent embedding for medical image segmentation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 18

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SupResDiffGAN a new approach for the Super-Resolution task cites this paper.

SupResDiffGAN a new approach for the Super-Resolution task Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 37

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Observation 0461b712-7b54-4bbd-9631-1db0f5159236 · inbound

ScanEdit: Hierarchically-Guided Functional 3D Scan Editing cites this paper.

ScanEdit: Hierarchically-Guided Functional 3D Scan Editing Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 47

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Flow Along the K-Amplitude for Generative Modeling cites this paper.

Flow Along the K-Amplitude for Generative Modeling Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 56

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GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution cites this paper.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 47

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Observation dcf5fa80-a8e9-49a3-a404-3f6ed24c51fc · inbound

Text to Image Generation and Editing: A Survey cites this paper.

Text to Image Generation and Editing: A Survey Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 274

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Observation ac5b8497-59e2-4692-8351-f09d78a7b31b · inbound

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review cites this paper.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 65

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IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions cites this paper.

IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:44:55.232410Z

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Observation 9315f65a-ab08-4bc8-83e4-105279e54349 · inbound

Few-Step Diffusion via Score identity Distillation cites this paper.

Few-Step Diffusion via Score identity Distillation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 63

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Dual-Expert Consistency Model for Efficient and High-Quality Video Generation cites this paper.

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 61

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Observation 36a94131-da85-4349-8db8-d42984d445af · inbound

A Robust Local Fr\'echet Regression Using Unbalanced Neural Optimal Transport with Applications to Dynamic Single-cell Genomics Data cites this paper.

A Robust Local Fr\'echet Regression Using Unbalanced Neural Optimal Transport with Applications to Dynamic Single-cell Genomics Data Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 39

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D2Diff : A Dual Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis cites this paper.

D2Diff : A Dual Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 13

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Reversing Flow for Image Restoration cites this paper.

Reversing Flow for Image Restoration Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 105

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WaFusion: A Wavelet-Enhanced Diffusion Framework for Face Morph Generation cites this paper.

WaFusion: A Wavelet-Enhanced Diffusion Framework for Face Morph Generation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 63

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fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting cites this paper.

fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 28

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Turbulent Injection assisted by Diffusion Models for Scale Resolving Simulations cites this paper.

Turbulent Injection assisted by Diffusion Models for Scale Resolving Simulations Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 2020

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Inference Time Debiasing Concepts in Diffusion Models cites this paper.

Inference Time Debiasing Concepts in Diffusion Models Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 23

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Quantum latent distributions in deep generative models cites this paper.

Quantum latent distributions in deep generative models Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 58

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VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation cites this paper.

VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 50

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Friend or Foe cites this paper.

Friend or Foe Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 57

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MiAD: Mirage Atom Diffusion for De Novo Crystal Generation cites this paper.

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 30

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FAIL: Flow Matching Adversarial Imitation Learning for Image Generation cites this paper.

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 32

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DAG-STL: A Hierarchical Framework for Zero-Shot Trajectory Planning under Signal Temporal Logic Specifications cites this paper.

DAG-STL: A Hierarchical Framework for Zero-Shot Trajectory Planning under Signal Temporal Logic Specifications Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:21:03.234371Z

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Observation ddd1cb09-695e-4c79-9f18-098e8482683f · inbound

Efficient Diffusion Distillation via Embedding Loss cites this paper.

Efficient Diffusion Distillation via Embedding Loss Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:01:19.520441Z

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Observation 09e66cc3-a120-474d-b25e-2baf9058b394 · inbound

A Systematic Benchmark of Intraoperative Ultrasound-to-MR Synthesis for Brain Tumour Surgery cites this paper.

A Systematic Benchmark of Intraoperative Ultrasound-to-MR Synthesis for Brain Tumour Surgery Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.247868Z

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Observation 7e236d92-e765-4165-b88b-eda91f87b8fe · inbound

The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL cites this paper.

The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 162

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:49:19.327774Z

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Observation 289d70c7-9664-4fdd-ac00-7f2f4f4a4006 · inbound

Safe Few-Step Generation via Velocity Editing cites this paper.

Safe Few-Step Generation via Velocity Editing Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:45.257990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b4119e8-cd42-4ae9-9c19-b151fde46af4 · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 15

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Observation 93ebe841-75ab-4681-b6e2-e8e12d7b3456 · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 15

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Observation 43624415-12f6-49d1-b532-1c88ff79247d · inbound

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution cites this paper.

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 287

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Observation 4b3bd8df-17fb-4530-a197-33c541c6eaad · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 94

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Observation ca17a4fe-3c62-41b0-bdcd-c92d8802278e · inbound

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling cites this paper.

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 53

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Observation c7cf0faf-d03f-403c-bf84-3c6363b7cd9a · inbound

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation cites this paper.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 38

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