Photorealistic media aim to faithfully represent the world, creating an experience that is perceptually indistinguishable from a real world experience. In the past few years, this area has grown significantly, with new multimedia areas emerging, such as ...

SUMAC 2022 is the fourth edition of the workshop on Structuring and Understanding of Multimedia heritAge Contents. It is held in Lisboa, Portugal on October 10th, 2022 and is co-located with the 30th ACM International Conference on Multimedia. Its ...

Nowadays, people spend dramatically more time on watching videos through different devices. The advanced hardware technology and network allow for the increasing demands of users viewing experience. Thus, enhancing the Quality of Experience of end-users ...

The fifth ACM International Workshop on Multimedia Content Analysis in Sports (ACM MMSports'22) is part of the ACM International Conference on Multimedia 2022 (ACM Multimedia 2022). After two years of pure virtual MMSports workshops due to COVID-19, ...

Museums have increasingly been using digital approaches to explore new ways to provide new experiences with Cultural Heritage (CH). The need for these solutions exploded with the COVID-19 pandemic forcing museums and cultural organizations to move ...

The hardware-accelerated real-time compression of 8K Ultra-High-Definition (UHD) video is an exemplary application that empowered by the latest video coding standard. However, the coding tools added to the recently released third-generation audio video ...

In this paper we reproduce experimental results presented in our earlier work titled "Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies" that was presented in the course of the 29th ACM International Conference on ...

Recent works based on convolutional encoder-decoder architecture and 3DMM parameterization have shown great potential for canonical view reconstruction from a single input image. Conventional CNN architectures benefit from exploiting the spatial ...

Accurately measuring the absolute depth of every pixel captured by an imaging sensor is of critical importance in real-time applications such as autonomous navigation, augmented reality and robotics. In order to predict dense depth, a general approach ...

Current co-speech gestures synthesis methods struggle with generating diverse motions and typically collapse to single or few frequent motion sequences, which are trained on original data distribution with customized models and strategies. We tackle ...

While the quality of face manipulation has been improved tremendously, the ability to control face components, e.g., eyebrows, is still limited. Although existing methods have realized component editing with user-provided geometry guidance, such as ...

Recently standardized MPEG Video-based Point Cloud Compression (V-PCC) codec has shown promise in achieving a good rate-distortion ratio of dynamic 3D point cloud compression. Current error concealment methods of V-PCC, however, lead to significantly ...

Normalizing flow models have been used successfully for generative image super-resolution (SR) by approximating complex distribution of natural images to simple tractable distribution in latent space through Invertible Neural Networks (INN). These ...

We propose CrossHuman, a novel method that learns cross-guidance from parametric human model and multi-frame RGB images to achieve high-quality 3D human reconstruction. To recover geometry details and texture even in invisible regions, we design a ...

Owing to the ability of extracting features of images on long-range dependencies naturally, transformer is possible to reconstruct the damaged areas of images with the information from the uncorrupted regions globally. In this paper, we propose a two-...

Constructing high-quality character image datasets is challenging because real-world images are often affected by image degradation. There are limitations when applying current image restoration methods to such real-world character images, since (i) the ...

The study of ancient writings has great value for archaeology and philology. Essential forms of material are photographic characters, but manual photographic character recognition is extremely time-consuming and expertise-dependent. Automatic ...

End-to-end learning-based video coding has attracted substantial attentions by compressing video signals as stacked visual features. This paper proposes an end-to-end deep video codec with jointly optimized compression and enhancement modules (JCEVC). ...

Constructing large-scale realistic terrains using modern modeling tools is an extremely challenging task even for professional users, undermining the effectiveness of video games, virtual reality, and other applications. In this paper, we present a step ...

We present a method to rig 3D faces via Action Units (AUs), viewpoint and light direction, from single input image. Existing 3D methods for face synthesis and animation rely heavily on 3D morphable model (3DMM), which was built on 3D data and cannot ...