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Found 13 papers, 4 papers with code
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations
The resulting latent-space NeRF can produce novel views with higher quality than standard colour-space NeRFs, as the AE can correct certain visual artifacts, while rendering over three times faster.
Dual-Camera Joint Deblurring-Denoising
Recent image enhancement methods have shown the advantages of using a pair of long and short-exposure images for low-light photography.
Watch Your Steps: Local Image and Scene Editing by Text Instructions
A field is trained on relevance maps of training views, denoted as the relevance field, defining the 3D region within which modifications should be made.
Reference-guided Controllable Inpainting of Neural Radiance Fields
The popularity of Neural Radiance Fields (NeRFs) for view synthesis has led to a desire for NeRF editing tools.
Efficient Flow-Guided Multi-frame De-fencing
Taking photographs ''in-the-wild'' is often hindered by fence obstructions that stand between the camera user and the scene of interest, and which are hard or impossible to avoid.
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
We refer to this task as 3D inpainting.
Day-to-Night Image Synthesis for Training Nighttime Neural ISPs
Training nightmode ISP networks relies on large-scale datasets of image pairs with: (1) a noisy raw image captured with a short exposure and a high ISO gain; and (2) a ground truth low-noise raw image captured with a long exposure and low ISO that has been rendered through the ISP.
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
Under such a class of discriminator (or critic) functions, we present Gradient Normalization (GraN), a novel input-dependent normalization method, which guarantees a piecewise K-Lipschitz constraint in the input space.
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
In the context of computer vision, this corresponds to a learnable module that serves two purposes: (i) generate a realistic rendering of a 3D object (shape-to-image translation) and (ii) infer a realistic 3D shape from an image (image-to-shape translation).
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results.
Real-time deep hair matting on mobile devices
Augmented reality is an emerging technology in many application domains.
Hybrid eye center localization using cascaded regression and hand-crafted model fitting
At an average normalized error of e < 0. 05, the regressor trained on manually annotated data yields an accuracy of 95. 07% (BioID), 99. 27% (GI4E), and 95. 68% (TalkingFace).
A Framework for Symmetric Part Detection in Cluttered Scenes
The role of symmetry in computer vision has waxed and waned in importance during the evolution of the field from its earliest days.
