Papers Reflection Removal
“Reflection Removal” 태그가 달린 논문 94편 · 필터 해제
From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video Dereflection
Videos captured through glass often contain reflections that degrade visual quality and interfere with downstream vision tasks. Although single-image reflection removal has been extensively studied, video reflection remo…
Reflection RemovalEvReflection: Event-Driven Micro-Dynamics for Reflection Removal
Despite remarkable progress in reflection removal, current methods primarily exploit static image priors from a single frame and still suffer from severe residual artifacts due to the inherent ambiguity between the refle…
Reflection RemovalReLo-IRR: Reflection-Guided LoRA Framework for Image Reflection Removal
Single-image reflection removal (SIRR) aims to recover the clean transmission layer from a reflection-contaminated image. Although recent methods achieve promising results with large diffusion models, they rely on image-…
Reflection RemovalPRISM: Latent Composition Consistency for Single-Image Reflection Removal
Single-image reflection removal (SIRR) seeks to recover the transmission layer from a mixture corrupted by reflections -- a severely ill-posed problem. Existing methods operate in pixel space, where the nonlinear sRGB fo…
Contrastive LearningReflection Removal3DReflecNet: A Large-Scale Dataset for 3D Reconstruction of Reflective, Transparent, and Low-Texture Objects
Accurate 3D reconstruction of objects with reflective, transparent, or low-texture surfaces still remains notoriously challenging. Such materials often violate key assumptions in multi-view reconstruction pipelines, such…
Novel View SynthesisReflection Removal3D ReconstructionImage MatchingNTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods
In this paper, we review the NTIRE 2026 challenge on single-image reflection removal (SIRR) in the wild. SIRR is a fundamental task in image restoration. Despite progress in academic research, most methods are tested on …
Reflection RemovalImage RestorationFUMO: Prior-Modulated Diffusion for Single Image Reflection Removal
Single image reflection removal (SIRR) is challenging in real scenes, where reflection strength varies spatially and reflection patterns are tightly entangled with transmission structures. This paper presents a diffusion…
Reflection RemovalAdaptive Language-Aware Image Reflection Removal Network
Existing image reflection removal methods struggle to handle complex reflections. Accurate language descriptions can help the model understand the image content to remove complex reflections. However, due to blurred and …
Reflection RemovalGFRRN: Explore the Gaps in Single Image Reflection Removal
Prior dual-stream methods with the feature interaction mechanism have achieved remarkable performance in single image reflection removal (SIRR). However, they often struggle with (1) semantic understanding gap between th…
Reflection RemovalSIRR-LMM: Single-image Reflection Removal via Large Multimodal Model
Glass surfaces create complex interactions of reflected and transmitted light, making single-image reflection removal (SIRR) challenging. Existing datasets suffer from limited physical realism in synthetic data or insuff…
Reflection RemovalRectifying Latent Space for Generative Single-Image Reflection Removal
Single-image reflection removal is a highly ill-posed problem, where existing methods struggle to reason about the composition of corrupted regions, causing them to fail at recovery and generalization in the wild. This w…
Reflection RemovalReflection Removal through Efficient Adaptation of Diffusion Transformers
We introduce a diffusion-transformer (DiT) framework for single-image reflection removal that leverages the generalization strengths of foundation diffusion models in the restoration setting. Rather than relying on task-…
Reflection RemovalExploring Spectral Characteristics for Single Image Reflection Removal
Eliminating reflections caused by incident light interacting with reflective medium remains an ill-posed problem in the image restoration area. The primary challenge arises from the overlapping of reflection and transmis…
Reflection RemovalImage RestorationReflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering
Accurately rendering scenes with reflective surfaces remains a significant challenge in novel view synthesis, as existing methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) often misinterpret ref…
3DGSDisentanglementNeRFNovel View Synthesis+1OpenRR-1k: A Scalable Dataset for Real-World Reflection Removal
Reflection removal technology plays a crucial role in photography and computer vision applications. However, existing techniques are hindered by the lack of high-quality in-the-wild datasets. In this paper, we propose a …
Reflection RemovalSingle Image Reflection Removal via inter-layer Complementarity
Although dual-stream architectures have achieved remarkable success in single image reflection removal, they fail to fully exploit inter-layer complementarity in their physical modeling and network design, which limits t…
Reflection RemovalPolarFree: Polarization-based Reflection-free Imaging
Reflection removal is challenging due to complex light interactions, where reflections obscure important details and hinder scene understanding. Polarization naturally provides a powerful cue to distinguish between refle…
Reflection RemovalScene UnderstandingDereflection Any Image with Diffusion Priors and Diversified Data
Reflection removal of a single image remains a highly challenging task due to the complex entanglement between target scenes and unwanted reflections. Despite significant progress, existing methods are hindered by the sc…
DiversityReflection RemovalA Generative Approach to High Fidelity 3D Reconstruction from Text Data
The convergence of generative artificial intelligence and advanced computer vision technologies introduces a groundbreaking approach to transforming textual descriptions into three-dimensional representations. This resea…
3D ReconstructionImage GenerationReflection RemovalText to Image Generation+1A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal
Single Image Reflection Removal (SIRR) is a canonical blind source separation problem and refers to the issue of separating a reflection-contaminated image into a transmission and a reflection image. The core challenge l…
blind source separationReflection Removal