"image generation" Papers

WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild

Morris Alper, David Novotny, Filippos Kokkinos et al.

Z-Magic: Zero-shot Multiple Attributes Guided Image Creator

Yingying Deng, Xiangyu He, Fan Tang et al.

A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models

Sebastian Gregor Gruber, Florian Buettner

Accelerating Image Generation with Sub-path Linear Approximation Model

Chen Xu, Tianhui Song, Weixin Feng et al.

Accelerating Parallel Sampling of Diffusion Models

Zhiwei Tang, Jiasheng Tang, Hao Luo et al.

ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models

Fei Kong, Jinhao Duan, Lichao Sun et al.

Agent Attention: On the Integration of Softmax and Linear Attention

Dongchen Han, Tianzhu Ye, Yizeng Han et al.

A high-quality robust diffusion framework for corrupted dataset

Quan Dao, Binh Ta, Tung Pham et al.

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank

Zhanjie Zhang, Quanwei Zhang, Wei Xing et al.

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations

Kailas Vodrahalli, James Zou

Auto-GAS: Automated Proxy Discovery for Training-free Generative Architecture Search

Lujun Li, Haosen SUN, Shiwen Li et al.

Boosting Flow-based Generative Super-Resolution Models via Learned Prior

Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang et al.

Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale

Candi Zheng, Yuan LAN

CipherDM: Secure Three-Party Inference for Diffusion Model Sampling

Xin Zhao, Xiaojun Chen, Xudong Chen et al.

Completing Visual Objects via Bridging Generation and Segmentation

Xiang Li, Yinpeng Chen, Chung-Ching Lin et al.

Context Diffusion: In-Context Aware Image Generation

Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey et al.

Critical windows: non-asymptotic theory for feature emergence in diffusion models

Marvin Li, Sitan Chen

DiffiT: Diffusion Vision Transformers for Image Generation

Ali Hatamizadeh, Jiaming Song, Guilin Liu et al.

Directly Denoising Diffusion Models

Dan Zhang, Jingjing Wang, Feng Luo

Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing

Wonjun Kang, Kevin Galim, Hyung Il Koo

Feedback Efficient Online Fine-Tuning of Diffusion Models

Masatoshi Uehara, Yulai Zhao, Kevin Black et al.

Fixed Point Diffusion Models

Luke Melas-Kyriazi, Xingjian Bai

FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

Junhyuk So, Jungwon Lee, Eunhyeok Park

Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations

Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos et al.

Image Content Generation with Causal Reasoning

Xiaochuan Li, Baoyu Fan, Run Zhang et al.

Kepler codebook

Junrong Lian, Ziyue Dong, Pengxu Wei et al.

LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging

Jinuk Kim, Marwa El Halabi, Mingi Ji et al.

Learning Quantized Adaptive Conditions for Diffusion Models

Yuchen Liang, Yuchuan Tian, Lei Yu et al.

LightIt: Illumination Modeling and Control for Diffusion Models

Peter Kocsis, Kalyan Sunkavalli, Julien Philip et al.

LLMGA: Multimodal Large Language Model based Generation Assistant

Bin Xia, Shiyin Wang, Yingfan Tao et al.

Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection

Alireza Ganjdanesh, Yan Kang, Yuchen Liu et al.

MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data

Jian Wang, Xin Lan, Yuxin Tian et al.

Multi-Architecture Multi-Expert Diffusion Models

Yunsung Lee, Jin-Young Kim, Hyojun Go et al.

Neural Diffusion Models

Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth

One-step Diffusion with Distribution Matching Distillation

Tianwei Yin, Michaël Gharbi, Richard Zhang et al.

On Inference Stability for Diffusion Models

Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.

On the Trajectory Regularity of ODE-based Diffusion Sampling

Defang Chen, Zhenyu Zhou, Can Wang et al.

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations

Woojin Cho, Seunghyeon Cho, Hyundong Jin et al.

Quantum Implicit Neural Representations

Jiaming Zhao, Wenbo Qiao, Peng Zhang et al.

Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models

Shengzhe Zhou, Zejian Li, Shengyuan Zhang et al.

ReGround: Improving Textual and Spatial Grounding at No Cost

Phillip (Yuseung) Lee, Minhyuk Sung

Residual Denoising Diffusion Models

Jiawei Liu, Qiang Wang, Huijie Fan et al.

S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention

Chiyu Zhang, Xiaogang Xu, Lei Wang et al.

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model

Wenyu Li, Binghui Chen, Yifeng Geng et al.

Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts

Byeongjun Park, Hyojun Go, Jin-Young Kim et al.

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling

Jiajun Ma, Shuchen Xue, Tianyang Hu et al.

Trainable Highly-expressive Activation Functions

Irit Chelly, Shahaf Finder, Shira Ifergane et al.

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models

Yiming Zhao, Zhouhui Lian