$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Park, Yong-Hyun, Lai, Chieh-Hsin, Hayakawa, Satoshi, Takida, Yuhta, Mitsufuji, Yuki |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
by: Uppal, Anshuk, et al.
Published: (2025)
by: Uppal, Anshuk, et al.
Published: (2025)
VCT: Training Consistency Models with Variational Noise Coupling
by: Silvestri, Gianluigi, et al.
Published: (2025)
by: Silvestri, Gianluigi, et al.
Published: (2025)
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
by: Murata, Naoki, et al.
Published: (2024)
by: Murata, Naoki, et al.
Published: (2024)
Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
by: Nguyen, Bac, et al.
Published: (2026)
by: Nguyen, Bac, et al.
Published: (2026)
Noise Scheduling as Information-Guided Allocation in Diffusion Training
by: Raya, Gabriel, et al.
Published: (2026)
by: Raya, Gabriel, et al.
Published: (2026)
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
by: Kim, Dongjun, et al.
Published: (2024)
by: Kim, Dongjun, et al.
Published: (2024)
SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator
by: Takida, Yuhta, et al.
Published: (2025)
by: Takida, Yuhta, et al.
Published: (2025)
Understanding and Accelerating the Training of Masked Diffusion Language Models
by: Hong, Chunsan, et al.
Published: (2026)
by: Hong, Chunsan, et al.
Published: (2026)
Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution
by: Park, Yonghyun, et al.
Published: (2025)
by: Park, Yonghyun, et al.
Published: (2025)
Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity
by: Kobayashi, Yuya, et al.
Published: (2025)
by: Kobayashi, Yuya, et al.
Published: (2025)
PAVAS: Physics-Aware Video-to-Audio Synthesis
by: Hyun-Bin, Oh, et al.
Published: (2025)
by: Hyun-Bin, Oh, et al.
Published: (2025)
A Unified View of Score-Based and Drifting Models
by: Lai, Chieh-Hsin, et al.
Published: (2026)
by: Lai, Chieh-Hsin, et al.
Published: (2026)
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
by: Kim, Dongjun, et al.
Published: (2023)
by: Kim, Dongjun, et al.
Published: (2023)
MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training
by: Uchida, Kengo, et al.
Published: (2024)
by: Uchida, Kengo, et al.
Published: (2024)
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
by: Takida, Yuhta, et al.
Published: (2023)
by: Takida, Yuhta, et al.
Published: (2023)
Distillation of Discrete Diffusion through Dimensional Correlations
by: Hayakawa, Satoshi, et al.
Published: (2024)
by: Hayakawa, Satoshi, et al.
Published: (2024)
Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image
by: Jain, Anubhav, et al.
Published: (2025)
by: Jain, Anubhav, et al.
Published: (2025)
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
by: Sabour, Amirmojtaba, et al.
Published: (2024)
by: Sabour, Amirmojtaba, et al.
Published: (2024)
CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models
by: Hu, Zheyuan, et al.
Published: (2025)
by: Hu, Zheyuan, et al.
Published: (2025)
TraSCE: Trajectory Steering for Concept Erasure
by: Jain, Anubhav, et al.
Published: (2024)
by: Jain, Anubhav, et al.
Published: (2024)
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization
by: Jain, Anubhav, et al.
Published: (2024)
by: Jain, Anubhav, et al.
Published: (2024)
Step-by-Step Video-to-Audio Synthesis via Negative Audio Guidance
by: Hayakawa, Akio, et al.
Published: (2025)
by: Hayakawa, Akio, et al.
Published: (2025)
AutoRefiner: Improving Autoregressive Video Diffusion Models via Reflective Refinement Over the Stochastic Sampling Path
by: Yu, Zhengyang, et al.
Published: (2025)
by: Yu, Zhengyang, et al.
Published: (2025)
MeanFlow Transformers with Representation Autoencoders
by: Hu, Zheyuan, et al.
Published: (2025)
by: Hu, Zheyuan, et al.
Published: (2025)
Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion
by: Hayakawa, Satoshi, et al.
Published: (2025)
by: Hayakawa, Satoshi, et al.
Published: (2025)
Common Diffusion Noise Schedules and Sample Steps are Flawed
by: Lin, Shanchuan, et al.
Published: (2023)
by: Lin, Shanchuan, et al.
Published: (2023)
TITAN-Guide: Taming Inference-Time AligNment for Guided Text-to-Video Diffusion Models
by: Simon, Christian, et al.
Published: (2025)
by: Simon, Christian, et al.
Published: (2025)
MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation
by: Hayakawa, Akio, et al.
Published: (2024)
by: Hayakawa, Akio, et al.
Published: (2024)
Diffusion Is Your Friend in Show, Suggest and Tell
by: Hu, Jia Cheng, et al.
Published: (2025)
by: Hu, Jia Cheng, et al.
Published: (2025)
A Survey on Diffusion Models for Inverse Problems
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
by: Seo, Junyoung, et al.
Published: (2024)
by: Seo, Junyoung, et al.
Published: (2024)
Few-Step Diffusion Sampling Through Instance-Aware Discretizations
by: Yuan, Liangyu, et al.
Published: (2026)
by: Yuan, Liangyu, et al.
Published: (2026)
DiSA: Diffusion Step Annealing in Autoregressive Image Generation
by: Zhao, Qinyu, et al.
Published: (2025)
by: Zhao, Qinyu, et al.
Published: (2025)
Improving Classifier-Free Guidance in Masked Diffusion: Low-Dim Theoretical Insights with High-Dim Impact
by: Rojas, Kevin, et al.
Published: (2025)
by: Rojas, Kevin, et al.
Published: (2025)
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
by: Hiranaka, Ayano, et al.
Published: (2024)
by: Hiranaka, Ayano, et al.
Published: (2024)
On Discrete Prompt Optimization for Diffusion Models
by: Wang, Ruochen, et al.
Published: (2024)
by: Wang, Ruochen, et al.
Published: (2024)
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
by: Lin, Haonan, et al.
Published: (2024)
by: Lin, Haonan, et al.
Published: (2024)
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
by: Chin, Zhi-Yi, et al.
Published: (2023)
by: Chin, Zhi-Yi, et al.
Published: (2023)
VinaBench: Benchmark for Faithful and Consistent Visual Narratives
by: Gao, Silin, et al.
Published: (2025)
by: Gao, Silin, et al.
Published: (2025)
Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision
by: Lee, Seongyun, et al.
Published: (2023)
by: Lee, Seongyun, et al.
Published: (2023)
Similar Items
-
Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
by: Uppal, Anshuk, et al.
Published: (2025) -
VCT: Training Consistency Models with Variational Noise Coupling
by: Silvestri, Gianluigi, et al.
Published: (2025) -
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
by: Murata, Naoki, et al.
Published: (2024) -
Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
by: Nguyen, Bac, et al.
Published: (2026) -
Noise Scheduling as Information-Guided Allocation in Diffusion Training
by: Raya, Gabriel, et al.
Published: (2026)