EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Namekata, Koichi, Sabour, Amirmojtaba, Fidler, Sanja, Kim, Seung Wook
Format:	Preprint
Published:	2024
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

Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
by: Sabour, Amirmojtaba, et al.
Published: (2024)

Align Your Flow: Scaling Continuous-Time Flow Map Distillation
by: Sabour, Amirmojtaba, et al.
Published: (2025)

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

VideoPanda: Video Panoramic Diffusion with Multi-view Attention
by: Xie, Kevin, et al.
Published: (2025)

L4GM: Large 4D Gaussian Reconstruction Model
by: Ren, Jiawei, et al.
Published: (2024)

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
by: Schwarz, Katja, et al.
Published: (2023)

BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
by: Kou, Siqi, et al.
Published: (2023)

XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
by: Ren, Xuanchi, et al.
Published: (2023)

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting
by: Mirzaei, Ashkan, et al.
Published: (2024)

SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
by: Namekata, Koichi, et al.
Published: (2024)

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
by: Ren, Xuanchi, et al.
Published: (2025)

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
by: Luo, Weijian, et al.
Published: (2023)

SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models
by: Dai, Zeyu, et al.
Published: (2025)

ReMatching Dynamic Reconstruction Flow
by: Oblak, Sara, et al.
Published: (2024)

Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks
by: Anwar, Aqeel, et al.
Published: (2024)

MPQ-Diff: Mixed Precision Quantization for Diffusion Models
by: Maruzzelli, Rocco Manz, et al.
Published: (2024)

RadarGen: Automotive Radar Point Cloud Generation from Cameras
by: Borreda, Tomer, et al.
Published: (2025)

SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
by: Pan, Jiayi, et al.
Published: (2025)

DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models
by: Kim, Sungnyun, et al.
Published: (2023)

PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion
by: Lu, Yifan, et al.
Published: (2026)

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation
by: Kalischek, Nikolai, et al.
Published: (2025)

AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
by: Dai, Xuelong, et al.
Published: (2023)

DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer
by: Zhang, Yuxuan, et al.
Published: (2026)

Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
by: Lee, Hagyeong, et al.
Published: (2024)

Diff-3DCap: Shape Captioning with Diffusion Models
by: Shu, Zhenyu, et al.
Published: (2025)

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
by: Schusterbauer, Johannes, et al.
Published: (2025)

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
by: Vasconcelos, Cristina N., et al.
Published: (2024)

Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
by: De Vita, Michele, et al.
Published: (2024)

LatentDiff: Scaling Semantic Dataset Comparison to Millions of Images
by: Flora, James, et al.
Published: (2026)

DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis
by: Neifar, Nour, et al.
Published: (2023)

DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision
by: Chen, Wenlin, et al.
Published: (2025)

DiffEnc: Variational Diffusion with a Learned Encoder
by: Nielsen, Beatrix M. G., et al.
Published: (2023)

Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback
by: Kordzanganeh, Mo, et al.
Published: (2024)

ViR: Towards Efficient Vision Retention Backbones
by: Hatamizadeh, Ali, et al.
Published: (2023)

ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning
by: Ye, Zihan, et al.
Published: (2024)

Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?
by: Liao, Yuan-Hong, et al.
Published: (2024)

SlimDiff: Training-Free, Activation-Guided Hands-free Slimming of Diffusion Models
by: Roy, Arani, et al.
Published: (2025)

$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
by: Bond-Taylor, Sam, et al.
Published: (2023)

DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
by: Fu, Jia, et al.
Published: (2024)

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
by: Shen, Tianchang, et al.
Published: (2024)