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09/16/2023
Dual-Camera Joint Deblurring-Denoising
Recent image enhancement methods have shown the advantages of using a pa...
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08/17/2023
Watch Your Steps: Local Image and Scene Editing by Text Instructions
Denoising diffusion models have enabled high-quality image generation an...
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04/21/2023
Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models
Novel view synthesis from a single input image is a challenging task, wh...
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04/19/2023
Reference-guided Controllable Inpainting of Neural Radiance Fields
The popularity of Neural Radiance Fields (NeRFs) for view synthesis has ...
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11/22/2022
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
Neural Radiance Fields (NeRFs) have emerged as a popular approach for no...
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06/03/2022
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata
Most camera images are rendered and saved in the standard RGB (sRGB) for...
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06/02/2022
Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images
Image noise modeling is a long-standing problem with many applications i...
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06/02/2022
Modeling sRGB Camera Noise with Normalizing Flows
Noise modeling and reduction are fundamental tasks in low-level computer...
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06/01/2022
Residual Multiplicative Filter Networks for Multiscale Reconstruction
Coordinate networks like Multiplicative Filter Networks (MFNs) and BACON...
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10/25/2021
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals
Markov Chain Monte Carlo (MCMC) methods are a powerful tool for computat...
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09/17/2021
Auto White-Balance Correction for Mixed-Illuminant Scenes
Auto white balance (AWB) is applied by camera hardware at capture time t...
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08/02/2021
Neural Image Representations for Multi-Image Fusion and Layer Separation
We propose a framework for aligning and fusing multiple images into a si...
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06/30/2021
Zero-shot Learning with Class Description Regularization
The purpose of generative Zero-shot learning (ZSL) is to learning from s...
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06/29/2021
Continuous Latent Process Flows
Partial observations of continuous time-series dynamics at arbitrary tim...
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06/26/2021
CAMS: Color-Aware Multi-Style Transfer
Image style transfer aims to manipulate the appearance of a source image...
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02/14/2021
Manifold Density Estimation via Generalized Dequantization
Density estimation is an important technique for characterizing distribu...
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11/23/2020
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms
While generative adversarial networks (GANs) can successfully produce hi...
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10/26/2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Normalizing flows are a class of probabilistic generative models which a...
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10/20/2020
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model
We present a probabilistic framework to generate character animations ba...
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02/24/2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Normalizing flows transform a simple base distribution into a complex ta...
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02/24/2020
Variational Hyper RNN for Sequence Modeling
In this work, we propose a novel probabilistic sequence model that excel...
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08/25/2019
Normalizing Flows: Introduction and Ideas
Normalizing Flows are generative models which produce tractable distribu...
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08/22/2019
Noise Flow: Noise Modeling with Conditional Normalizing Flows
Modeling and synthesizing image noise is an important aspect in many com...
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12/04/2018
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture
We propose a generative approach to physics-based motion capture. Unlike...
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06/21/2017
Two-Stream Convolutional Networks for Dynamic Texture Synthesis
We introduce a two-stream model for dynamic texture synthesis. Our model...
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06/23/2016
Find your Way by Observing the Sun and Other Semantic Cues
In this paper we present a robust, efficient and affordable approach to ...
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04/14/2015
Building Proteins in a Day: Efficient 3D Molecular Reconstruction
Discovering the 3D atomic structure of molecules such as proteins and vi...
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01/19/2015
