"diffusion models" Papers
1,011 papers found • Page 7 of 21
Conference
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
Bingliang Zhang, Wenda Chu, Julius Berner et al.
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo et al.
Infinite-Resolution Integral Noise Warping for Diffusion Models
Yitong Deng, Winnie Lin, Lingxiao Li et al.
Influence-Guided Diffusion for Dataset Distillation
Mingyang Chen, Jiawei Du, Bo Huang et al.
Information Theoretic Learning for Diffusion Models with Warm Start
Yirong Shen, Lu GAN, Cong Ling
Information Theoretic Text-to-Image Alignment
Chao Wang, Giulio Franzese, alessandro finamore et al.
Instant Adversarial Purification with Adversarial Consistency Distillation
Chun Tong Lei, Hon Ming Yam, Zhongliang Guo et al.
InstantPortrait: One-Step Portrait Editing via Diffusion Multi-Objective Distillation
Zhixin Lai, Keqiang Sun, Fu-Yun Wang et al.
InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing
Jinlu Zhang, Yixin Chen, Zan Wang et al.
ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency
Yang Ren, Hai Jiang, Menglong Yang et al.
Is Your Diffusion Model Actually Denoising?
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
Jiyuan Wang, Chunyu Lin, cheng guan et al.
Joint Diffusion Models in Continual Learning
Paweł Skierś, Kamil Deja
Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
Yuyang Hu, Kangfu Mei, Mojtaba Ardakani et al.
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition
Wen Yin, Yong Wang, Guiduo Duan et al.
LACONIC: A 3D Layout Adapter for Controllable Image Creation
Léopold Maillard, Tom Durand, Adrien RAMANANA RAHARY et al.
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
Biao Zhang, Peter Wonka
LaneDiffusion: Improving Centerline Graph Learning via Prior Injected BEV Feature Generation
Zijie Wang, Weiming Zhang, Wei Zhang et al.
LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering
Xiaohang Zhan, Dingming Liu
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
Yousef Yeganeh, Ioannis Charisiadis, Marta Hasny et al.
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
Jinho Jeong, Sangmin Han, Jinwoo Kim et al.
Learning Deblurring Texture Prior from Unpaired Data with Diffusion Model
Chengxu Liu, Lu Qi, Jinshan Pan et al.
Learning Diffusion Models with Flexible Representation Guidance
Chenyu Wang, Cai Zhou, Sharut Gupta et al.
Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
Ruiyi Wang, Yushuo Zheng, Zicheng Zhang et al.
Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
Francesco Cozzi, Marco Pangallo, Alan Perotti et al.
Learning to Generate Human-Human-Object Interactions from Textual Descriptions
Jeonghyeon Na, Sangwon Baik, Inhee Lee et al.
Learning to See in the Extremely Dark
Hai Jiang, Binhao Guan, Zhen Liu et al.
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
Lin Zhu, Xinbing Wang, Chenghu Zhou et al.
Leveraging BEV Paradigm for Ground-to-Aerial Image Synthesis
Junyan Ye, Jun He, Weijia Li et al.
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
Enshu Liu, Junyi Zhu, Zinan Lin et al.
Linear combinations of latents in generative models: subspaces and beyond
Erik Bodin, Alexandru Stere, Dragos Margineantu et al.
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
Yifan Pu, Jixuan Ying, Qixiu Li et al.
Linearly Constrained Diffusion Implicit Models
Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steve Seitz et al.
Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models
Yuchen Yuchen, Xiangzhong Fang, Hanting Chen et al.
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model
Xi Wang, Hongzhen Li, Heng Fang et al.
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
Mushui Liu, Yuhang Ma, Zhen Yang et al.
LMFusion: Adapting Pretrained Language Models for Multimodal Generation
Weijia Shi, Xiaochuang Han, Chunting Zhou et al.
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
Enis Simsar, Thomas Hofmann, Federico Tombari et al.
Low-Biased General Annotated Dataset Generation
Dengyang Jiang, Haoyu Wang, Lei Zhang et al.
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
Derong Kong, Zhixiong Yang, Shengxi Li et al.
LUSD: Localized Update Score Distillation for Text-Guided Image Editing
Worameth Chinchuthakun, Tossaporn Saengja, Nontawat Tritrong et al.
MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control
Ruiyuan Gao, Kai Chen, Bo Xiao et al.
Make It Count: Text-to-Image Generation with an Accurate Number of Objects
Lital Binyamin, Yoad Tewel, Hilit Segev et al.
Make Me Happier: Evoking Emotions Through Image Diffusion Models
Qing Lin, Jingfeng Zhang, YEW-SOON ONG et al.
MangaNinja: Line Art Colorization with Precise Reference Following
Zhiheng Liu, Ka Leong Cheng, Xi Chen et al.
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
Jonathan Brokman, Amit Giloni, Omer Hofman et al.
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
Ao Li, Wei Fang, Hongbo Zhao et al.
Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos
Yufan Zhou, Zhaobo Qi, Lingshuai Lin et al.
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation
Mingcheng Li, Xiaolu Hou, Ziyang Liu et al.
Memories of Forgotten Concepts
Matan Rusanovsky, Shimon Malnick, Amir Jevnisek et al.