Poster "image synthesis" Papers
33 papers found
Conference
Accelerating Diffusion Transformers with Token-wise Feature Caching
Chang Zou, Xuyang Liu, Ting Liu et al.
Adaptive Inference-Time Scaling via Cyclic Diffusion Search
Gyubin Lee, Bao Truong, Jaesik Yoon et al.
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
Beier Zhu, Ruoyu Wang, Tong Zhao et al.
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Yinuo Ren, Haoxuan Chen, Yuchen Zhu et al.
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu et al.
Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities
Yifang Chen, Xiaoyu Li, Yingyu Liang et al.
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction
Dat Cong, Hieu Tran, Hoang Thanh-Tung
InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
Tao Han, Wanghan Xu, Junchao Gong et al.
Learning to Discretize Denoising Diffusion ODEs
Vinh Tong, Trung-Dung Hoang, Anji Liu et al.
Leveraging BEV Paradigm for Ground-to-Aerial Image Synthesis
Junyan Ye, Jun He, Weijia Li et al.
MaskBit: Embedding-free Image Generation via Bit Tokens
Mark Weber, Lijun Yu, Qihang Yu et al.
Omegance: A Single Parameter for Various Granularities in Diffusion-Based Synthesis
Xinyu Hou, Zongsheng Yue, Xiaoming Li et al.
OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps
Bingnan Li, Chen-Yu Wang, Haiyang Xu et al.
Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
Yuansheng Li, Yunhao Zou, Linwei Chen et al.
Plug-and-Play Context Feature Reuse for Efficient Masked Generation
Xuejie Liu, Anji Liu, Guy Van den Broeck et al.
ViUniT: Visual Unit Tests for More Robust Visual Programming
Artemis Panagopoulou, Honglu Zhou, silvio savarese et al.
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation
Zanlin Ni, Yulin Wang, Renping Zhou et al.
Agglomerative Token Clustering
Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor et al.
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
Taehong Moon, Moonseok Choi, EungGu Yun et al.
Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
Baoquan Zhang, Huaibin Wang, Luo Chuyao et al.
DeepCache: Accelerating Diffusion Models for Free
Xinyin Ma, Gongfan Fang, Xinchao Wang
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
Yilun Xu, Gabriele Corso, Tommi Jaakkola et al.
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
Lee Eungbean, Somi Jeong, Kwanghoon Sohn
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
Massimo Bini, Karsten Roth, Zeynep Akata et al.
Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
Lanqing Guo, Yingqing He, Haoxin Chen et al.
Membership Inference Attacks on Diffusion Models via Quantile Regression
Shuai Tang, Steven Wu, Sergul Aydore et al.
Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis
Yuchao Gu, Xintao Wang, Yixiao Ge et al.
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis
Zanlin Ni, Yulin Wang, Renping Zhou et al.
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Katherine Crowson, Stefan Baumann, Alex Birch et al.
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
Mingyuan Zhou, Huangjie Zheng, Zhendong Wang et al.
SMaRt: Improving GANs with Score Matching Regularity
Mengfei Xia, Yujun Shen, Ceyuan Yang et al.
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
Xu Yang, Changxing Ding, Zhibin Hong et al.
Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models
Phuong Dam, Jihoon Jeong, Anh Tran et al.