2025 "generative models" Papers

34 papers found

Adding Conditional Control to Diffusion Models with Reinforcement Learning

Yulai Zhao, Masatoshi Uehara, Gabriele Scalia et al.

ICLR 2025posterarXiv:2406.12120
13
citations

Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Carles Domingo i Enrich, Michal Drozdzal, Brian Karrer et al.

ICLR 2025posterarXiv:2409.08861
116
citations

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data

Asad Aali, Giannis Daras, Brett Levac et al.

ICLR 2025posterarXiv:2403.08728
30
citations

Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?

Zebin You, Xinyu Zhang, Hanzhong Guo et al.

CVPR 2025posterarXiv:2405.18029
3
citations

Bayesian Experimental Design Via Contrastive Diffusions

Jacopo Iollo, Christophe Heinkelé, Pierre Alliez et al.

ICLR 2025posterarXiv:2410.11826
6
citations

Detecting Adversarial Data Using Perturbation Forgery

Qian Wang, Chen Li, Yuchen Luo et al.

CVPR 2025posterarXiv:2405.16226
2
citations

Diffusion Transformers for Tabular Data Time Series Generation

Fabrizio Garuti, Enver Sangineto, Simone Luetto et al.

ICLR 2025posterarXiv:2504.07566
3
citations

Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation

Enshu Liu, Qian Chen, Xuefei Ning et al.

NeurIPS 2025posterarXiv:2510.21003
2
citations

Entropic Time Schedulers for Generative Diffusion Models

Dejan Stancevic, Florian Handke, Luca Ambrogioni

NeurIPS 2025posterarXiv:2504.13612
3
citations

Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling

Aram Davtyan, Leello Dadi, Volkan Cevher et al.

ICLR 2025poster
5
citations

FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation

Sen Wang, Le Wang, Sanping Zhou et al.

CVPR 2025posterarXiv:2506.16201
8
citations

From Search to Sampling: Generative Models for Robust Algorithmic Recourse

Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi

ICLR 2025posterarXiv:2505.07351
2
citations

GMValuator: Similarity-based Data Valuation for Generative Models

Jiaxi Yang, Wenlong Deng, Benlin Liu et al.

ICLR 2025posterarXiv:2304.10701
2
citations

GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim et al.

NeurIPS 2025spotlightarXiv:2505.20355
1
citations

Head Pursuit: Probing Attention Specialization in Multimodal Transformers

Lorenzo Basile, Valentino Maiorca, Diego Doimo et al.

NeurIPS 2025spotlightarXiv:2510.21518
2
citations

Image Super-Resolution with Guarantees via Conformalized Generative Models

Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert

NeurIPS 2025posterarXiv:2502.09664

InCoDe: Interpretable Compressed Descriptions For Image Generation

Armand Comas, Aditya Chattopadhyay, Feliu Formosa et al.

ICLR 2025poster
1
citations

Information Theoretic Learning for Diffusion Models with Warm Start

Yirong Shen, Lu GAN, Cong Ling

NeurIPS 2025posterarXiv:2510.20903
1
citations

Learning to Discretize Denoising Diffusion ODEs

Vinh Tong, Trung-Dung Hoang, Anji Liu et al.

ICLR 2025posterarXiv:2405.15506
18
citations

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

Enshu Liu, Junyi Zhu, Zinan Lin et al.

ICLR 2025posterarXiv:2404.02241
6
citations

Multitask Learning with Stochastic Interpolants

Hugo Negrel, Florentin Coeurdoux, Michael Albergo et al.

NeurIPS 2025spotlightarXiv:2508.04605

One Step Diffusion via Shortcut Models

Kevin Frans, Danijar Hafner, Sergey Levine et al.

ICLR 2025posterarXiv:2410.12557
181
citations

On the Relation between Rectified Flows and Optimal Transport

Johannes Hertrich, Antonin Chambolle, Julie Delon

NeurIPS 2025posterarXiv:2505.19712
5
citations

Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints

Utkarsh Utkarsh, Pengfei Cai, Alan Edelman et al.

NeurIPS 2025posterarXiv:2506.04171
14
citations

PID-controlled Langevin Dynamics for Faster Sampling on Generative Models

Hongyi Chen, Jianhai Shu, Jingtao Ding et al.

NeurIPS 2025posterarXiv:2511.12603

ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection

Haowei Zhu, Tianxiang Pan, Rui Qin et al.

NeurIPS 2025spotlightarXiv:2510.15783
1
citations

RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning

Qianlan Yang, Yu-Xiong Wang

ICLR 2025poster

Señorita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists

Bojia Zi, Penghui Ruan, Marco Chen et al.

NeurIPS 2025posterarXiv:2502.06734
25
citations

Stiefel Flow Matching for Moment-Constrained Structure Elucidation

Austin H Cheng, Alston Lo, Kin Long Kelvin Lee et al.

ICLR 2025posterarXiv:2412.12540
6
citations

SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints

Miruna Cretu, Charles Harris, Ilia Igashov et al.

ICLR 2025posterarXiv:2405.01155
18
citations

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance

Minghao Fu, Guo-Hua Wang, Xiaohao Chen et al.

ICCV 2025posterarXiv:2507.18192

Transformers without Normalization

Jiachen Zhu, Xinlei Chen, Kaiming He et al.

CVPR 2025posterarXiv:2503.10622
96
citations

Unveiling Concept Attribution in Diffusion Models

Nguyen Hung-Quang, Hoang Phan, Khoa D Doan

NeurIPS 2025posterarXiv:2412.02542
4
citations

VertexRegen: Mesh Generation with Continuous Level of Detail

Xiang Zhang, Yawar Siddiqui, Armen Avetisyan et al.

ICCV 2025posterarXiv:2508.09062
4
citations