Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches
Synthetic aperture radar (SAR) images are widely used in remote sensing. Interpreting SAR images can be challenging due to their intrinsic speckle noise and grayscale nature. To address this issue, SAR colorization has e…
BenchmarkingColorizationGenerative Adversarial NetworkregressionSteered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
Conditional generative models typically demand large annotated training sets to achieve high-quality synthesis. As a result, there has been significant interest in designing models that perform plug-and-play generation, …
ColorizationConditional Image GenerationImage GenerationImage Super-Resolution+2MEM: Multi-Modal Elevation Mapping for Robotics and Learning
Elevation maps are commonly used to represent the environment of mobile robots and are instrumental for locomotion and navigation tasks. However, pure geometric information is insufficient for many field applications tha…
ColorizationGPUHuman DetectionLine DetectionFinite Scalar Quantization: VQ-VAE Made Simple
We propose to replace vector quantization (VQ) in the latent representation of VQ-VAEs with a simple scheme termed finite scalar quantization (FSQ), where we project the VAE representation down to a few dimensions (typic…
ColorizationDepth EstimationImage Generationmultimodal generation+2Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model
Image colorization is the process of colorizing grayscale images or recoloring an already-color image. This image manipulation can be used for grayscale satellite, medical and historical images making them more expressiv…
ColorizationEnsemble LearningImage ColorizationImage Manipulation+1ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillation
Colorization is a well-explored problem in the domains of image and video processing. However, extending colorization to 3D scenes presents significant challenges. Recent Neural Radiance Field (NeRF) and Gaussian-Splatti…
3DGSColorizationImage ColorizationKnowledge Distillation+2Histogram-guided Video Colorization Structure with Spatial-Temporal Connection
Video colorization, aiming at obtaining colorful and plausible results from grayish frames, has aroused a lot of interest recently. Nevertheless, how to maintain temporal consistency while keeping the quality of colorize…
ColorizationCooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation
Near-infrared (NIR) image spectrum translation is a challenging problem with many promising applications. Existing methods struggle with the mapping ambiguity between the NIR and the RGB domains, and generalize poorly du…
ColorizationImage ColorizationTranslationBrighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement
Low-Light Image Enhancement (LLIE) aims to improve the perceptual quality of an image captured in low-light conditions. Generally, a low-light image can be divided into lightness and chrominance components. Recent advanc…
ColorizationImage ColorizationImage EnhancementLow-Light Image Enhancement+1DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
Recent data-driven image colorization methods have enabled automatic or reference-based colorization, while still suffering from unsatisfactory and inaccurate object-level color control. To address these issues, we propo…
ColorizationImage ColorizationImage ReconstructionLine Art Colorization of Fakemon using Generative Adversarial Neural Networks
This work proposes a complete methodology to colorize images of Fakemon, anime-style monster-like creatures. In addition, we propose algorithms to extract the line art from colorized images as well as to extract color hi…
ColorizationLine Art ColorizationDequantization and Color Transfer with Diffusion Models
We demonstrate an image dequantizing diffusion model that enables novel edits on natural images. We propose operating on quantized images because they offer easy abstraction for patch-based edits and palette transfer. In…
ColorizationImage ColorizationImage RestorationQuantizationFast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Wasserstein distance (WD) and the associated optimal transport plan have been proven useful in many applications where probability measures are at stake. In this paper, we propose a new proxy of the squared WD, coined mi…
ColorizationImage ColorizationImproving Video Colorization by Test-Time Tuning
With the advancements in deep learning, video colorization by propagating color information from a colorized reference frame to a monochrome video sequence has been well explored. However, the existing approaches often s…
ColorizationDiffusart: Enhancing Line Art Colorization with Conditional Diffusion Models
Colorization of line art drawings is an important task in illustration and animation workflows. However, this highly laborious process is mainly done manually, limiting the creative productivity. This paper presents a no…
ColorizationLine Art ColorizationSSIMVideo Colorization with Pre-trained Text-to-Image Diffusion Models
Video colorization is a challenging task that involves inferring plausible and temporally consistent colors for grayscale frames. In this paper, we present ColorDiffuser, an adaptation of a pre-trained text-to-image late…
ColorizationAccelerating Diffusion Models for Inverse Problems through Shortcut Sampling
Diffusion models have recently demonstrated an impressive ability to address inverse problems in an unsupervised manner. While existing methods primarily focus on modifying the posterior sampling process, the potential o…
ColorizationDeblurringSuper-ResolutionL-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
Language-based colorization produces plausible and visually pleasing colors under the guidance of user-friendly natural language descriptions. Previous methods implicitly assume that users provide comprehensive color des…
ColorizationFlowChroma -- A Deep Recurrent Neural Network for Video Colorization
We develop an automated video colorization framework that minimizes the flickering of colors across frames. If we apply image colorization techniques to successive frames of a video, they treat each frame as a separate c…
ColorizationDecoderImage ColorizationContrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning
We present a new self-supervised paradigm on point cloud sequence understanding. Inspired by the discriminative and generative self-supervised methods, we design two tasks, namely point cloud sequence based Contrastive P…
Action RecognitionColorizationContrastive LearningDecoder+2