Papers
DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
Weicai Ye, Chenhao Ji, Zheng Chen et al.
DiffPhyCon: A Generative Approach to Control Complex Physical Systems
Long Wei, Peiyan Hu, Ruiqi Feng et al.
DiffPO: A causal diffusion model for learning distributions of potential outcomes
Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal et al.
DiffSF: Diffusion Models for Scene Flow Estimation
Yushan Zhang, Bastian Wandt, Maria Magnusson et al.
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
Weikang Wan, Ziyu Wang, Yufei Wang et al.
DiffuBox: Refining 3D Object Detection with Point Diffusion
Xiangyu Chen, Zhenzhen Liu, Katie Z Luo et al.
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
Jie Shao, Ke Zhu, Hanxiao Zhang et al.
DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model
Abdullah Bin Jasni, Akiko Manada, Kohei Watabe
DiffuserLite: Towards Real-time Diffusion Planning
Zibin Dong, Jianye Hao, Yifu Yuan et al.
Diffusing Differentiable Representations
Yash Savani, Marc Finzi, J. Zico Kolter
Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models
Hanwen Liang, Yuyang Yin, Dejia Xu et al.
Diffusion Actor-Critic with Entropy Regulator
Yinuo Wang, Likun Wang, Yuxuan Jiang et al.
Diffusion-based Curriculum Reinforcement Learning
Erdi Sayar, Giovanni Iacca, Ozgur S. Oguz et al.
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
Ying Yang, De Cheng, Chaowei Fang et al.
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
Shutong Ding, Ke Hu, Zhenhao Zhang et al.
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
Bowen Song, Jason Hu, Zhaoxu Luo et al.
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
Liyuan Mao, Haoran Xu, Xianyuan Zhan et al.
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
Ke Sun, Shen Chen, Taiping Yao et al.
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Boyuan Chen, Diego Martí Monsó, Yilun Du et al.
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso, Adam Jelley, Vincent Micheli et al.
Diffusion Imitation from Observation
Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai et al.
Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
Jiamian Wang, Pichao Wang, Dongfang Liu et al.
Diffusion Models are Certifiably Robust Classifiers
Huanran Chen, Yinpeng Dong, Shitong Shao et al.
Diffusion Models With Learned Adaptive Noise
Subham Sekhar Sahoo, Aaron Gokaslan, Chris De Sa et al.
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
Tao Yang, Cuiling Lan, Yan Lu et al.