TFG: Unified Training-Free Guidance for Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ye, Haotian, Lin, Haowei, Han, Jiaqi, Xu, Minkai, Liu, Sheng, Liang, Yitao, Ma, Jianzhu, Zou, James, Ermon, Stefano |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
by: Lin, Haowei, et al.
Published: (2025)
by: Lin, Haowei, et al.
Published: (2025)
Geometric Trajectory Diffusion Models
by: Han, Jiaqi, et al.
Published: (2024)
by: Han, Jiaqi, et al.
Published: (2024)
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
by: Han, Jiaqi, et al.
Published: (2025)
by: Han, Jiaqi, et al.
Published: (2025)
Inference-time Scaling of Diffusion Models through Classical Search
by: Zhang, Xiangcheng, et al.
Published: (2025)
by: Zhang, Xiangcheng, et al.
Published: (2025)
RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
by: Chen, Tianlang, et al.
Published: (2025)
by: Chen, Tianlang, et al.
Published: (2025)
Divergence Minimization Preference Optimization for Diffusion Model Alignment
by: Li, Binxu, et al.
Published: (2025)
by: Li, Binxu, et al.
Published: (2025)
Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement
by: Dang, Meihua, et al.
Published: (2025)
by: Dang, Meihua, et al.
Published: (2025)
Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
by: Han, Jiaqi, et al.
Published: (2025)
by: Han, Jiaqi, et al.
Published: (2025)
Generative Evaluation of Complex Reasoning in Large Language Models
by: Lin, Haowei, et al.
Published: (2025)
by: Lin, Haowei, et al.
Published: (2025)
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
by: Han, Jiaqi, et al.
Published: (2024)
by: Han, Jiaqi, et al.
Published: (2024)
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
by: Lin, Haowei, et al.
Published: (2024)
by: Lin, Haowei, et al.
Published: (2024)
MUDiff: Unified Diffusion for Complete Molecule Generation
by: Hua, Chenqing, et al.
Published: (2023)
by: Hua, Chenqing, et al.
Published: (2023)
Can Language Models Discover Scaling Laws?
by: Lin, Haowei, et al.
Published: (2025)
by: Lin, Haowei, et al.
Published: (2025)
Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
by: Han, Jiaqi, et al.
Published: (2026)
by: Han, Jiaqi, et al.
Published: (2026)
Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
by: Ou, Jingyang, et al.
Published: (2025)
by: Ou, Jingyang, et al.
Published: (2025)
TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
by: Shi, Juntong, et al.
Published: (2024)
by: Shi, Juntong, et al.
Published: (2024)
GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
by: Zhao, Wanjia, et al.
Published: (2025)
by: Zhao, Wanjia, et al.
Published: (2025)
Contextualized Diffusion Models for Text-Guided Image and Video Generation
by: Yang, Ling, et al.
Published: (2024)
by: Yang, Ling, et al.
Published: (2024)
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models
by: Hudovernik, Valter, et al.
Published: (2025)
by: Hudovernik, Valter, et al.
Published: (2025)
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
by: Kazdan, Joshua, et al.
Published: (2024)
by: Kazdan, Joshua, et al.
Published: (2024)
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
by: Yang, Ling, et al.
Published: (2024)
by: Yang, Ling, et al.
Published: (2024)
Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models
by: Wang, Austin, et al.
Published: (2026)
by: Wang, Austin, et al.
Published: (2026)
MADiff: Offline Multi-agent Learning with Diffusion Models
by: Zhu, Zhengbang, et al.
Published: (2023)
by: Zhu, Zhengbang, et al.
Published: (2023)
Training-Free Safe Denoisers for Safe Use of Diffusion Models
by: Kim, Mingyu, et al.
Published: (2025)
by: Kim, Mingyu, et al.
Published: (2025)
Energy-Based Diffusion Language Models for Text Generation
by: Xu, Minkai, et al.
Published: (2024)
by: Xu, Minkai, et al.
Published: (2024)
Equivariant Graph Neural Operator for Modeling 3D Dynamics
by: Xu, Minkai, et al.
Published: (2024)
by: Xu, Minkai, et al.
Published: (2024)
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation
by: Wang, Zihao, et al.
Published: (2024)
by: Wang, Zihao, et al.
Published: (2024)
Data-regularized Reinforcement Learning for Diffusion Models at Scale
by: Ye, Haotian, et al.
Published: (2025)
by: Ye, Haotian, et al.
Published: (2025)
Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)
by: Jang, Sangwon, et al.
Published: (2025)
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
by: Jiang, Dapeng, et al.
Published: (2025)
by: Jiang, Dapeng, et al.
Published: (2025)
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
by: Gu, Siyi, et al.
Published: (2024)
by: Gu, Siyi, et al.
Published: (2024)
Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation
by: Iyengar, Aniketh, et al.
Published: (2025)
by: Iyengar, Aniketh, et al.
Published: (2025)
CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion
by: Li, Yanyu, et al.
Published: (2025)
by: Li, Yanyu, et al.
Published: (2025)
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
by: Zhou, Xiangxin, et al.
Published: (2024)
by: Zhou, Xiangxin, et al.
Published: (2024)
A Neural Symbolic Model for Space Physics
by: Ying, Jie, et al.
Published: (2025)
by: Ying, Jie, et al.
Published: (2025)
TFG
by: ROSTRA RODRÍGUEZ, SERGIO
Published: (2026)
by: ROSTRA RODRÍGUEZ, SERGIO
Published: (2026)
Peptide2Mol: A Diffusion Model for Generating Small Molecules as Peptide Mimics for Targeted Protein Binding
by: He, Xinheng, et al.
Published: (2025)
by: He, Xinheng, et al.
Published: (2025)
Reducing Hallucinations in Vision-Language Models via Latent Space Steering
by: Liu, Sheng, et al.
Published: (2024)
by: Liu, Sheng, et al.
Published: (2024)
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
by: Lou, Aaron, et al.
Published: (2023)
by: Lou, Aaron, et al.
Published: (2023)
CLoG: Benchmarking Continual Learning of Image Generation Models
by: Zhang, Haotian, et al.
Published: (2024)
by: Zhang, Haotian, et al.
Published: (2024)
Similar Items
-
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
by: Lin, Haowei, et al.
Published: (2025) -
Geometric Trajectory Diffusion Models
by: Han, Jiaqi, et al.
Published: (2024) -
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
by: Han, Jiaqi, et al.
Published: (2025) -
Inference-time Scaling of Diffusion Models through Classical Search
by: Zhang, Xiangcheng, et al.
Published: (2025) -
RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
by: Chen, Tianlang, et al.
Published: (2025)