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 ...
This paper introduces a novel taskof controllable 3D hand-object contact modeling with natural language descriptions. Challenges include i) the complexity of cross-modal modeling from language to contact, and ii) a lack of descriptive text for contact patterns. To address these issues, we propose ...
有两个分支:(1)基于score matching去建模score:\nabla_x\log p_\text{data}(x),然后利用score+朗之万动力学采样 ,对应于【2】NCSN:Generative Modeling by Estimating Gradients of the Data Distribution(2019)这篇论文;(2)基于Diffusion过程建模reverse processp(x_{t-1}|x_t),然后利用reverse process采样...
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_{\...
继之而来的,是2021年五月OpenAI所发布的“Classifier Guidance”(亦被称为Guided Diffusion)。这篇论文提出了一项重要的策略,即通过基于分类器的引导来指导扩散模型生成图像。借助其他多项改进,扩散模型首次成功击败了生成领域的巨头“GAN”,同时也为OpenAI的DALLE-2(一个图像和文本生成模型)的发布奠定了基础。
To make the process of image generation guided, we must first convert textual data into vector representations. This is typically done with a GPT-style language model. The embeddings it produces are added to the visual input and fed to the DM. Also, since diffusion models are mostly U-net ...
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation Pierre Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, Rogier Van der Sluijs, Małgorzata Połacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, Akshay Chaudhari [23rd ...
2024/01 AID AID: Adapting Image2Video Diffusion Models for Instruction-guided Video PredictionZhen Xing, Qi Dai, Zejia Weng, Zuxuan Wu, Yu-Gang Jiang arXiv2024 Paper/ 2023/05 Seer Seer: Language Instructed Video Prediction with Latent Diffusion ModelsXianfan Gu, Chuan Wen, Weirui Ye, Jiaming...
12、NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling withDiffusion Model 对于调整不准确的手部姿势并生成三维手-物体重建中的新型人类抓取,建模手部与物体之间的物理接触是标准的。然而,现有方法依赖于无法指定或控制的几何约束。本文引入了一种新的可控3D手-物体接触建模任务与自然语言描述。挑战...
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 ...