Papers Video Matting
“Video Matting” 태그가 달린 논문 30편 · 필터 해제
Post-Training Quantization for Video Matting
Video matting is crucial for applications such as film production and virtual reality, yet deploying its computationally intensive models on resource-constrained devices presents challenges. Quantization is a key techniq…
Image MattingModel CompressionOptical Flow EstimationQuantization+1Object-Aware Video Matting with Cross-Frame Guidance
Recently, trimap-free methods have drawn increasing attention in human video matting due to their promising performance. Nevertheless, these methods still suffer from the lack of deterministic foreground-background cues,…
Image MattingObjectVideo MattingMatAnyone: Stable Video Matting with Consistent Memory Propagation
Auxiliary-free human video matting methods, which rely solely on input frames, often struggle with complex or ambiguous backgrounds. To address this, we propose MatAnyone, a robust framework tailored for target-assigned …
Image MattingVideo MattingILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation
High-quality animated stickers usually contain transparent channels, which are often ignored by current video generation models. To generate fine-grained animated transparency channels, existing methods can be roughly di…
Image MattingVideo GenerationVideo MattingMaGGIe: Masked Guided Gradual Human Instance Matting
Human matting is a foundation task in image and video processing, where human foreground pixels are extracted from the input. Prior works either improve the accuracy by additional guidance or improve the temporal consist…
Image MattingVideo MattingPOBEVM: Real-time Video Matting via Progressively Optimize the Target Body and Edge
Deep convolutional neural networks (CNNs) based approaches have achieved great performance in video matting. Many of these methods can produce accurate alpha estimation for the target body but typically yield fuzzy or in…
Image MattingVideo MattingPolarMatte: Fully Computational Ground-Truth-Quality Alpha Matte Extraction for Images and Video using Polarized Screen Matting
The creation of high-quality alpha mattes as ground-truth data for video matting is typically a laborious task. The trade-off between accuracy manual corrections and capture constraints often produces erroneous resul…
Image MattingVideo MattingVideo Instance Matting
Conventional video matting outputs one alpha matte for all instances appearing in a video frame so that individual instances are not distinguished. While video instance segmentation provides time-consistent instance mask…
BinarizationImage MattingInstance SegmentationSemantic Segmentation+2OmnimatteRF: Robust Omnimatte with 3D Background Modeling
Video matting has broad applications, from adding interesting effects to casually captured movies to assisting video production professionals. Matting with associated effects such as shadows and reflections has also attr…
Image MattingVideo MattingAdaptive Human Matting for Dynamic Videos
The most recent efforts in video matting have focused on eliminating trimap dependency since trimap annotations are expensive and trimap-based methods are less adaptable for real-time applications. Despite the latest tri…
DecoderImage MattingVideo MattingMask-Guided Matting in the Wild
Mask-guided matting has shown great practicality compared to traditional trimap-based methods. The mask-guided approach takes an easily-obtainable coarse mask as guidance and produces an accurate alpha matte. To exte…
DiversityImage MattingInstance SegmentationSemantic Segmentation+1Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity
Commodity ultra-high definition (UHD) displays are becoming more affordable which demand imaging in ultra high resolution (UHR). This paper proposes SparseMat, a computationally efficient approach for UHR image/video…
Image MattingVideo MattingEnd-to-End Video Matting With Trimap Propagation
The research of video matting mainly focuses on temporal coherence and has gained significant improvement via neural networks. However, matting usually relies on user-annotated trimaps to estimate alpha values, which…
Image MattingSegmentationSemantic SegmentationVideo Matting+2FactorMatte: Redefining Video Matting for Re-Composition Tasks
We propose "factor matting", an alternative formulation of the video matting problem in terms of counterfactual video synthesis that is better suited for re-composition tasks. The goal of factor matting is to separate th…
counterfactualImage MattingVideo MattingVMFormer: End-to-End Video Matting with Transformer
Video matting aims to predict the alpha mattes for each frame from a given input video sequence. Recent solutions to video matting have been dominated by deep convolutional neural networks (CNN) for the past few years, w…
DecoderVideo MattingOne-Trimap Video Matting
Recent studies made great progress in video matting by extending the success of trimap-based image matting to the video domain. In this paper, we push this task toward a more practical setting and propose One-Trimap Vide…
Image MattingVideo MattingAttention based Memory video portrait matting
We proposed a novel trimap free video matting method based on the attention mechanism. By the nature of the problem, most existing approaches use either multiple computational expansive modules or complex algorithms to e…
Image MattingVideo MattingMODNet-V: Improving Portrait Video Matting via Background Restoration
To address the challenging portrait video matting problem more precisely, existing works typically apply some matting priors that require additional user efforts to obtain, such as annotated trimaps or background images.…
GPUImage MattingVideo MattingTemporally Coherent Person Matting Trained on Fake-Motion Dataset
We propose a novel neural-network-based method to perform matting of videos depicting people that does not require additional user input such as trimaps. Our architecture achieves temporal stability of the resulting alph…
Image MattingImage SegmentationMotion EstimationOptical Flow Estimation+2Automatic Portrait Video Matting via Context Motion Network
Automatic portrait video matting is an under-constrained problem. Most state-of-the-art methods only exploit the semantic information and process each frame individually. Their performance is compromised due to the lack …
Image MattingOptical Flow EstimationSemantic SegmentationVideo Matting