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Computational Visual Media
Scopus
ISSN 2096-0433 · Tsinghua University Press · 342 artikel di indeks
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Artikel Jurnal
Photorealistic fire scene video generation via multimodal large language model and pre-trained video diffusion model
Text-to-video diffusion models have made significant progress. However, there is still a lack of dedicated research on generating fire scene videos with physical realism and visual fidelity. To address this gap, we propose text-to-video fire (T2VFire) scene generation. T2VFire uses GPT-4o as the…
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Artikel Jurnal
StyleDiffusion: Prompt-embedding inversion for text-based editing
A significant research effort is focused on exploiting the outstanding capacities of pretrained diffusion models for image editing. Approaches either fine tune the model, or invert the image in the latent space of the pretrained model. However, they suffer from two problems: (ⅰ) unsatisfactory…
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Artikel Jurnal
PE loss: Perception-enhanced distortion-oriented loss for image restoration
Image restoration is the inverse problem of recovering high-quality images from knowledge of degraded images; it includes image super-resolution, image denoising, image deblurring, etc. The objective of image restoration methods is to minimize the error defined by the loss function between the…
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Artikel Jurnal
Multi-view weakly-supervised 3D human pose estimation via human body segmentation
We propose a multi-view weakly-supervised 3D human pose estimation network. In this network, we fuse multi-view features and generate the final 3D pose, supervising the 3D pose using human body segmentation generated by a human parsing network. Using human body segmentation provides powerful…
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Artikel Jurnal
Self-supervised learning for pre-training 3D point clouds: A survey
Point cloud data have been extensively studied due to their compact form and flexibility in representing complex 3D geometries and structures. The ability of point cloud data to accurately capture and represent intricate 3D geometry makes it an ideal choice for a wide range of applications…
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Artikel Jurnal
GTLayout: Learning general trees for structured grid layout generation
Structured grid layouts are preferable in many 2D visual content creation scenarios since their structures facilitate further layout editing. Multiple geometry-based methods can effectively create structured grid layouts but require user-provided constraints or rules. Existing data-driven…
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Artikel Jurnal
LPA-Aug: Learning to place and adjust synthetic objects for LiDAR data augmentation
LiDAR point cloud data is indispensable for autonomous driving systems, enabling critical 3D perception tasks such as 3D object detection and segmentation. However, a shortage of labeled LiDAR data hinders the development of robust deep learning algorithms for these tasks. Data augmentation, as an…
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Artikel Jurnal
AI-driven generation of 3D CAD models: A survey
Integrating artificial intelligence (AI) into computer-aided design (CAD) has shown the potential to transform design and manufacturing processes, enabling more efficient, intuitive, and intelligent workflows. In recent years, the application of AI to 3D CAD model generation tasks has gradually…
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Artikel Jurnal
DarkVision: A benchmark and study for low-light image/video analysis
Low-light image/video analysis is essential for various applications, e.g., night surveillance and photography, high-speed imaging, and autonomous vehicles. Under such conditions, cameras suffer from low signal-to-noise ratio, which degrades image quality severely and poses challenges for…
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Artikel Jurnal
SMixNet: Style mixture network for exemplar-based image translation
Exemplar-based image translation, which aims to transfer the style of an exemplar image to an input semantic image, is challenging and important in many applications. Most current methods build coarse correspondences and overlook extracting faithful style information from the exemplar image…
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Artikel Jurnal
Automatic planning of urban green spaces
Urban green spaces such as parks and gardens are indispensable in both virtual and real-world environments. Therefore, planning such spaces is highly valuable. While scene synthesis literature has limited interest in this topic, many existing parametric design and procedural content generation…
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Artikel Jurnal
Learning coherent portrait-to-anime translation via latent cyclic transformation
Translating real portrait video into anime is an application of interest to both consumers and researchers. However, anime differs considerably from portraits, making portrait-to-anime translation challenging. Existing StyleGAN-based portrait stylization works assume that the portrait and stylized…
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Artikel Jurnal
Temporal illumination variation compensation using perpendicular whisk-broom hyperspectral scans
This study introduces a novel method to mitigate temporal illumination variations in whisk-broom hyperspectral imaging under varying environmental illumination conditions. Whisk-broom hyperspectral imaging captures high resolution spectra pixel-by-pixel sequentially, a process susceptible to…
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Artikel Jurnal
Soft-labelling for budget-constrained semantic segmentation: Bringing coherence to label down-sampling
In semantic segmentation, training data down-sampling is commonly performed due to resource limitations, the need to adapt image size to the model input, or to improve data augmentation. This down-sampling typically employs different strategies for the image data and the annotated labels. Such…
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Artikel Jurnal
See more, know more: Richer prior knowledge for novel class discovery
Novel class discovery (NCD) aims to discover novel categories in an unlabeled dataset by employing a model that is trained on a labeled dataset with different but semantically related categories. The challenge of this task is that the model needs to learn discriminative representations from seen…
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Artikel Jurnal
Neural scene baking for permutation invariant transparency rendering with real-time global illumination
Neural rendering provides a fundamentally new way to render photorealistic images. Similar to traditional light-baking methods, neural rendering utilizes neural networks to bake representations of scenes, materials, and lights into latent vectors learned from path-tracing ground truths. However…
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Artikel Jurnal
Video-Bench: A comprehensive benchmark and toolkit for evaluating video-based large language models
Video-based large language models (Video-LLMs) have been recently introduced, targeting both fundamental improvements in perception and comprehension, and a diverse range of user inquiries. In pursuit of the ultimate goal of achieving artificial general intelligence, a truly intelligent Video-LLM…
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Artikel Jurnal
Flow-deformation-aware point cloud completion network for 3D metal bent tube
The task of completing shapes of complex curved surface components is a challenging yet crucial problem in industrial quality inspection. The hollow structures, irregular sectional profiles, and flexible trajectories of 3D bent tubes impose difficulties for precise shape completion. A deeper…
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Artikel Jurnal
Immersive analytics meets artificial intelligence: A systematic review
Integrating artificial intelligence (AI) with immersive analytics (IA) represents a promising means of leveraging advanced computational techniques to enhance data visualization and analysis. This study examines the state-of-the-art of AI–IA integration by addressing three key research issues: the…
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Artikel Jurnal
FaceCLIP: CLIP-driven accurate and detailed 3D face reconstruction from a single image
In recent years, 3D face reconstruction has become a research hotspot in computer graphics and computer vision. Most current 3DMM-based methods focus on learning displacement maps to recover high-frequency facial details. However, they focus less on learning mid-frequency facial details and…