Poster "diffusion models" Papers
824 papers found • Page 15 of 17
Conference
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
Yanru Qu, Keyue Qiu, Yuxuan Song et al.
MoMo: Momentum Models for Adaptive Learning Rates
Fabian Schaipp, Ruben Ohana, Michael Eickenberg et al.
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection
Youngmin Oh, Hyung-Il Kim, Seong Tae Kim et al.
Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation
Xiyi Chen, Marko Mihajlovic, Shaofei Wang et al.
Move Anything with Layered Scene Diffusion
Jiawei Ren, Mengmeng Xu, Jui-Chieh Wu et al.
MoVideo: Motion-Aware Video Generation with Diffusion Models
Jingyun Liang, Yuchen Fan, Kai Zhang et al.
Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-driven Diffusion
Jian Ma, Wenguan Wang, Yi Yang et al.
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen et al.
Navigating Text-to-Image Generative Bias across Indic Languages
Surbhi Mittal, Arnav Sudan, MAYANK VATSA et al.
NeRFiller: Completing Scenes via Generative 3D Inpainting
Ethan Weber, Aleksander Holynski, Varun Jampani et al.
Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
Philipp Schröppel, Christopher Wewer, Jan Lenssen et al.
Neural Sign Actors: A Diffusion Model for 3D Sign Language Production from Text
Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas et al.
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert et al.
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation
Jingyang Huo, Yikai Wang, Yanwei Fu et al.
NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model
Zhongqun Zhang, Hengfei Wang, Ziwei Yu et al.
Non-confusing Generation of Customized Concepts in Diffusion Models
Wang Lin, Jingyuan CHEN, Jiaxin Shi et al.
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
Daniel Winter, Matan Cohen, Shlomi Fruchter et al.
OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
Han Liang, Jiacheng Bao, Ruichi Zhang et al.
On Discrete Prompt Optimization for Diffusion Models
Ruochen Wang, Ting Liu, Cho-Jui Hsieh et al.
One-Shot Diffusion Mimicker for Handwritten Text Generation
Gang Dai, Yifan Zhang, Quhui Ke et al.
One-step Diffusion with Distribution Matching Distillation
Tianwei Yin, Michaël Gharbi, Richard Zhang et al.
On the Trajectory Regularity of ODE-based Diffusion Sampling
Defang Chen, Zhenyu Zhou, Can Wang et al.
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
Yixiao Wang, Chen Tang, Lingfeng Sun et al.
PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation
Jian Ma, Chen Chen, Qingsong Xie et al.
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering
Ruofan Liang, Zan Gojcic, Merlin Nimier-David et al.
Photorealistic Video Generation with Diffusion Models
Agrim Gupta, Lijun Yu, Kihyuk Sohn et al.
Pix2Gif: Motion-Guided Diffusion for GIF Generation
Hitesh Kandala, Jianfeng Gao, Jianwei Yang
Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization
Tao Yang, Rongyuan Wu, Peiran Ren et al.
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
Pau de Jorge Aranda, Riccardo Volpi, Puneet Dokania et al.
Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation
Jinpeng Liu, Wenxun Dai, Chunyu Wang et al.
Plug-and-Play image restoration with Stochastic deNOising REgularization
Marien Renaud, Jean Prost, Arthur Leclaire et al.
Point Cloud Pre-training with Diffusion Models
xiao zheng, Xiaoshui Huang, Guofeng Mei et al.
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation
Jack Lu, Ryan Teehan, Mengye Ren
Prompt-Free Diffusion: Taking “Text” out of Text-to-Image Diffusion Models
Xingqian Xu, Jiayi Guo, Zhangyang Wang et al.
Prompt-guided Precise Audio Editing with Diffusion Models
Manjie Xu, Chenxing Li, Duzhen Zhang et al.
Prompting Future Driven Diffusion Model for Hand Motion Prediction
Bowen Tang, Kaihao Zhang, Wenhan Luo et al.
Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
YAN WANG, Lihao Wang, Yuning Shen et al.
Pyramid Diffusion for Fine 3D Large Scene Generation
Yuheng Liu, Xinke Li, Xueting Li et al.
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
Li Ding, Jenny Zhang, Jeff Clune et al.
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
Zheyuan Zhou, Wang Le, Naiyu Fang et al.
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Ximiao Zhang, Min Xu, Xiuzhuang Zhou
RecDiffusion: Rectangling for Image Stitching with Diffusion Models
Tianhao Zhou, Li Haipeng, Ziyi Wang et al.
ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation
Nantian He, Shaohui Li, Zhi Li et al.
RegionDrag: Fast Region-Based Image Editing with Diffusion Models
Jingyi Lu, Xinghui Li, Kai Han
ReGround: Improving Textual and Spatial Grounding at No Cost
Phillip (Yuseung) Lee, Minhyuk Sung
ReNoise: Real Image Inversion Through Iterative Noising
Daniel Garibi, Or Patashnik, Andrey Voynov et al.
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable Repainting
Junwu Zhang, Zhenyu Tang, Yatian Pang et al.
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke, Anton Obukhov, Shengyu Huang et al.
Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
Guangyuan Li, Chen Rao, Juncheng Mo et al.