Papers Image Matting
“Image Matting” 태그가 달린 논문 234편 · 필터 해제
Self-supervised Automatic Matting
High-quality alpha mattes are notoriously expensive to annotate, creating a fundamental data bottleneck for deep image matting. While prior work attempts to reduce annotation cost using coarser labels like trimaps or mas…
Image MattingSAM2Matting: Generalized Image and Video Matting
Despite impressive advances in image matting, video matting remains challenging due to the inherent gap between high-level tracking, which requires frame-wise understanding, and low-level matting, which focuses on extrem…
Domain GeneralizationImage MattingToward Real-World High-Precision Image Matting and Segmentation
High-precision scene parsing tasks, including image matting and dichotomous segmentation, aim to accurately predict masks with extremely fine details (such as hair). Most existing methods focus on salient, single foregro…
Domain AdaptationScene ParsingImage MattingSegment and Matte Anything in a Unified Model
Segment Anything (SAM) has recently pushed the boundaries of segmentation by demonstrating zero-shot generalization and flexible prompting after training on over one billion masks. Despite this, its mask prediction accur…
Zero-shot GeneralizationImage SegmentationImage MattingGuardians of the Hair: Rescuing Soft Boundaries in Depth, Stereo, and Novel Views
Soft boundaries, like thin hairs, are commonly observed in natural and computer-generated imagery, but they remain challenging for 3D vision due to the ambiguous mixing of foreground and background cues. This paper intro…
Monocular Depth EstimationNovel View SynthesisImage MattingMatAnyone 2: Scaling Video Matting via a Learned Quality Evaluator
Video matting remains limited by the scale and realism of existing datasets. While leveraging segmentation data can enhance semantic stability, the lack of effective boundary supervision often leads to segmentation-like …
Image MattingOmniAlpha: Aligning Transparency-Aware Generation via Multi-Task Unified Reinforcement Learning
Transparency-aware generation requires modeling not only RGB appearance but also alpha-based opacity and cross-layer composition, which are essential for tasks such as image matting, object removal, layer decomposition, …
Reinforcement LearningImage MattingGenerative AI for Enhanced Wildfire Detection: Bridging the Synthetic-Real Domain Gap
The early detection of wildfires is a critical environmental challenge, with timely identification of smoke plumes being key to mitigating large-scale damage. While deep neural networks have proven highly effective for l…
Unsupervised Domain AdaptationStyle TransferImage MattingTrans-Adapter: A Plug-and-Play Framework for Transparent Image Inpainting
RGBA images, with the additional alpha channel, are crucial for any application that needs blending, masking, or transparency effects, making them more versatile than standard RGB images. Nevertheless, existing image inp…
Image InpaintingImage MattingPost-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+1MP-Mat: A 3D-and-Instance-Aware Human Matting and Editing Framework with Multiplane Representation
Human instance matting aims to estimate an alpha matte for each human instance in an image, which is challenging as it easily fails in complex cases requiring disentangling mingled pixels belonging to multiple instances …
Image MattingMaSS13K: A Matting-level Semantic Segmentation Benchmark
High-resolution semantic segmentation is essential for applications such as image editing, bokeh imaging, AR/VR, etc. Unfortunately, existing datasets often have limited resolution and lack precise mask details and bound…
4kImage MattingSegmentationSemantic SegmentationVRMDiff: Text-Guided Video Referring Matting Generation of Diffusion
We propose a new task, video referring matting, which obtains the alpha matte of a specified instance by inputting a referring caption. We treat the dense prediction task of matting as video generation, leveraging the te…
Image MattingVideo AlignmentVideo GenerationPath-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints
In this paper, we explore a novel image matting task aimed at achieving efficient inference under various computational cost constraints, specifically FLOP limitations, using a single matting network. Existing matting me…
Bilevel OptimizationImage MattingObject-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 MattingEnhancing Image Matting in Real-World Scenes with Mask-Guided Iterative Refinement
Real-world image matting is essential for applications in content creation and augmented reality. However, it remains challenging due to the complex nature of scenes and the scarcity of high-quality datasets. To address …
Benchmarkingfeature selectionImage MattingEfficient Portrait Matte Creation With Layer Diffusion and Connectivity Priors
Learning effective deep portrait matting models requires training data of both high quality and large quantity. Neither quality nor quantity can be easily met for portrait matting, however. Since the most accurate ground…
Image MattingVideo SegmentationVideo Semantic SegmentationMatAnyone: 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 MattingBEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation
Current approaches to dichotomous image segmentation (DIS) treat image matting and object segmentation as fundamentally different tasks. As improvements in image segmentation become increasingly challenging to achieve, c…
Dichotomous Image SegmentationImage MattingImage SegmentationSegmentation+1Polarized Color Screen Matting
This paper considers the long-standing problem of extracting alpha mattes from video using a known background. While various color-based or polarization-based approaches have been studied in past decades, the problem…
Image Matting