we formulate an iterative reasoning process by denoising diffusion modeling. Specifically, we propose a language-guided diffusion framework for visual grounding, LG-DVG, which trains the model to progressively reason queried object boxes by denoising a set of noisy boxes with the language guide. To ...
In contrast, in this paper, we formulate an iterative reasoning process by denoising diffusion modeling. Specifically, we propose a language-guided diffusion framework for visual grounding, LG-DVG, which trains the model to progressively reason queried object boxes by denoising a set of noisy boxes...
055 (2023-08-18) Language-Guided Diffusion Model for Visual Groundinghttps://arxiv.org/pdf/2308.09599.pdf 056 (2023-08-18) O^2-Recon Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Modelhttps://arxiv.org/pdf/2308.09591.pdf 057 (2023-08-18) ...
2. Diffusion-LM: Continuous Diffusion Language Modeling 作者对标准的扩散模型进行了部分修改。 2.1 End-to-end Training 为了将连续的扩散模型运用到离散的文本,定义embedding函数 EMB(wi) 将每一个词语映射为向量。 在上图中,在forward process中,添加马尔可夫变换使得将离散的词语 w 映射为 x_{0} , q_{\...
Guided 的方法推广，提出了语义引导（Semantic Guided）的方式，更具体点，就是通过文本引导（Language ...
Bridging Policy Learning and Language Modeling 34:02 【RLChina论文研讨会】第55期 刘旭辉 How To Guide Your Learner Imitation Learning with Active 30:48 【RLChina论文研讨会】第55期 李阳 Cooperative Open-ended Learning Framework for Zero-shot Co 24:05 【RLChina论文研讨会】第55期 何强 Eigensubspace ...
并在随后改进提出的 Q 函数引导的策略优化算法（Q-Guided Policy Optimization, QGPO）[13]中证明，...
过程中训练一个语言模型目标函数 (Language Modeling Loss, LM) 毕竟由于BLIP 包含解码器,用于生成任务。既然有这个任务需求,那就意味着需要一个针对于生成任务的语言模型目标函数,LM 作用于第1部分的视觉编码器和第4部分的视觉文本解码器,目标是根据给定的图像以自回归方式来生成关于文本的描述。与 VLP 中广泛使用...
025 (2023-10-25) Discrete Diffusion Language Modeling by Estimating the Ratios of the Data Distribution https://arxiv.org/pdf/2310.16834.pdf 026 (2023-10-25) CommonCanvas An Open Diffusion Model Trained with Creative-Commons Images https://arxiv.org/pdf/2310.16825.pdf ...
055 (2023-08-18) Language-Guided Diffusion Model for Visual Grounding https://arxiv.org/pdf/2308.09599.pdf 056 (2023-08-18) O^2-Recon Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model ...