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Found 16 papers, 4 papers with code
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
We introduce Videoshop, a training-free video editing algorithm for localized semantic edits.
Generative Models: What do they know? Do they know things? Let's find out!
Generative models have been shown to be capable of synthesizing highly detailed and realistic images.
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
All three classifiers are denied access to image pixels, and look only at derived geometric features.
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
Dense depth and surface normal predictors should possess the equivariant property to cropping-and-resizing -- cropping the input image should result in cropping the same output image.
Blocks2World: Controlling Realistic Scenes with Editable Primitives
We present Blocks2World, a novel method for 3D scene rendering and editing that leverages a two-step process: convex decomposition of images and conditioned synthesis.
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
UrbanIR uses a novel loss to make very good estimates of shadow volumes in the original scene.
Make It So: Steering StyleGAN for Any Image Inversion and Editing
StyleGAN's disentangled style representation enables powerful image editing by manipulating the latent variables, but accurately mapping real-world images to their latent variables (GAN inversion) remains a challenge.
StyLitGAN: Prompting StyleGAN to Produce New Illumination Conditions
We propose a novel method, StyLitGAN, for relighting and resurfacing generated images in the absence of labeled data.
SIRfyN: Single Image Relighting from your Neighbors
Novel theory shows that one can use similar scenes to estimate the different lightings that apply to a given scene, with bounded expected error.
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering
DIVeR's representation is a voxel based field of features.
View Generalization for Single Image Textured 3D Models
We describe a cycle consistency loss that encourages model textures to be aligned, so as to encourage sharing.
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading
We show how to insert an object from one image to another and get realistic results in the hard case, where the shading of the inserted object clashes with the shading of the scene.
Improving Style Transfer with Calibrated Metrics
Style transfer methods produce a transferred image which is a rendering of a content image in the manner of a style image.
Unrestricted Adversarial Examples via Semantic Manipulation
Machine learning models, especially deep neural networks (DNNs), have been shown to be vulnerable against adversarial examples which are carefully crafted samples with a small magnitude of the perturbation.
Quantitative Evaluation of Style Transfer
Style transfer methods produce a transferred image which is a rendering of a content image in the manner of a style image.
Detecting Anomalous Faces with 'No Peeking' Autoencoders
We describe a method for detecting an anomalous face image that meets these requirements.
