Explore how to facilitate the human creative process from the perspective of Computer G raphics

在过去的一年里，我参与了7个项目，有4篇论文被录用。这些项目的主题是(1)通过提供用户输入来提高生成模型的能力，(2)帮助用户创建ML算法。这些项目涉及编辑nerf模型和捕获nerf模型，基于图像的形状部分操作，从360图像中重建室内场景，以及平面设计的布局生成。更详细地说，我介绍了第一个框架，使用户能够在没有任何特定类别的数据和训练的情况下，在预训练的NeRF表示的3D场景中删除不需要的对象或修饰不需要的区域。另一方面，我提出了一种新的用于布局生成的包含感知损失函数。

In the past year, I have worked on seven projects and had four papers accepted.The main theme of these projects is (1) to increase the ability of the generative model by providing user inputs and (2) to assist users in creating ML algorithms. These projects are relevant to edit nerf model and capturing nerf model, image-based shape part manipulation, indoor scene reconstruction from 360 images, and layout generation for graphic design.In more detail, I introduce the first framework that enables users to remove unwanted objects or retouch undesired regions in a 3D scene represented by a pre-trained NeRF without any category-specific data and training. On the other hand, I proposed a novel containment-aware loss function for layout generation.