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- ArticleJanuary 2024
- ArticleJanuary 2024
- ArticleJanuary 2024
- ArticleJanuary 2024
- front-matterJanuary 2024
Front Matter
Advances in Computer GraphicsPages i–xii -
- back-matterJanuary 2024
- ArticleDecember 2023
A Submodular-Based Autonomous Exploration for Multi-Room Indoor Scenes Reconstruction
AbstractTo autonomously explore and densely recover an unknown indoor scene is a nontrivial task in 3D scene reconstruction. It is challenging for scenes composed of compact and complicated interconnected rooms with no priors. To address this issue, we ...
- ArticleDecember 2023
CaSE-NeRF: Camera Settings Editing of Neural Radiance Fields
AbstractNeural Radiance Fields (NeRF) have shown excellent quality in three-dimensional (3D) reconstruction by synthesizing novel views from multi-view images. However, previous NeRF-based methods do not allow users to perform user-controlled camera ...
- ArticleDecember 2023
An Adaptive-Guidance GAN for Accurate Face Reenactment
AbstractFace reenactment has been widely used in face editing, augmentation and animation. However, it is still challenging to generate photo-realistic target face with accurate pose or expression as reference face, meanwhile retain the identity as the ...
- ArticleDecember 2023
Automatic Digitization and Orientation of Scanned Mesh Data for Floor Plan and 3D Model Generation
AbstractThis paper describes a novel approach for generating accurate floor plans and 3D models of building interiors using scanned mesh data. Unlike previous methods, which begin with a high resolution point cloud from a laser range-finder, our approach ...
- ArticleDecember 2023
METRO-X: Combining Vertex and Parameter Regressions for Recovering 3D Human Meshes with Full Motions
AbstractIt is well known that regressing the parametric representation of a human body from a single image suffers low accuracy due to sparse information use and error accumulation. Although being able to achieve higher accuracy by avoiding these issues, ...
- ArticleDecember 2023
A Two-Step Approach for Interactive Animatable Avatars
AbstractWe propose a two-step human body animation technique that generates pose-dependent detailed deformations in real-time on standard animation pipeline. In order to accomplish real-time animation, we utilize the template-based approach and represent ...
- ArticleDecember 2023
DrawGAN: Multi-view Generative Model Inspired by the Artist’s Drawing Method
AbstractWe present a novel approach for modeling artists’ drawing processes using an architecture that combines an unconditional generative adversarial network (GAN) with a multi-view generator and multi-discriminator. Our method excels in synthesizing ...
- ArticleDecember 2023
Light Accumulation Map for Natural Foliage Scene Generation
AbstractFoliage scene generation is an important problem in computer graphics. Realistic virtual floras require simulation of real plant symbiotic principles. Among the factors that affect the spatial distribution of plants, lighting is the most important ...
- ArticleDecember 2023
FoldGEN: Multimodal Transformer for Garment Sketch-to-Photo Generation
AbstractGarment sketch-to-photo generation is one of the most crucial steps in garment design. Most existing methods contain only single conditional information, and it is challenging to combine multiple condition information. At the same time, these ...
- ArticleDecember 2023
Diffusion-Based Semantic Image Synthesis from Sparse Layouts
AbstractWe present an efficient framework that utilizes diffusion models to generate landscape images from sparse semantic layouts. Previous approaches use dense semantic label maps to generate images, where the quality of the results is highly dependent ...
- ArticleDecember 2023
Seeing is No Longer Believing: A Survey on the State of Deepfakes, AI-Generated Humans, and Other Nonveridical Media
AbstractDid you see that crazy photo of Chris Hemsworth wearing a gorgeous, blue ballgown? What about the leaked photo of Bernie Sanders dancing with Sarah Palin? If these don’t sound familiar, it’s because these events never happened–but with text-to-...
- ArticleDecember 2023
Zero3D: Semantic-Driven 3D Shape Generation for Zero-Shot Learning
AbstractSemantic-driven 3D shape generation aims to generate 3D shapes conditioned on textual input. However, previous approaches have faced challenges with the single-category generation, low-frequency details, and the requirement for large quantities of ...