← Search

Ilya Chugunov

7 accepted papers

2026

Hist2Style: Histogram-Guided Stylization with Bilateral Grids

CVPR 2026

Photorealistic style transfer aims to match the color and tone of an input image to that of a style target while preserving the content and details of the original scene. Although existing large image models can facilitate these kinds of appearance edits, their high computational demands, potential

Cited by 0SourcecodeScholar
2025

Neural Atlas Graphs for Dynamic Scene Decomposition and Editing

NeurIPS 2025spotlight

Learning editable high-resolution scene representations for dynamic scenes is an open problem with applications across the domains from autonomous driving to creative editing - the most successful approaches today make a trade-off between editability and supporting scene complexity: neural atlases r…

Cited by 0SourcecodeScholar
2024

Neural Spline Fields for Burst Image Fusion and Layer Separation

CVPR 2024poster

Each photo in an image burst can be considered a sample of a complex 3D scene: the product of parallax diffuse and specular materials scene motion and illuminant variation. While decomposing all of these effects from a stack of misaligned images is a highly ill-conditioned task the conventional alig…

Cited by 13SourcePDFScholar
2023

Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography

CVPR 2023poster

Modern mobile burst photography pipelines capture and merge a short sequence of frames to recover an enhanced image, but often disregard the 3D nature of the scene they capture, treating pixel motion between images as a 2D aggregation problem. We show that in a "long-burst", forty-two 12-megapixel R…

Cited by 11SourcePDFScholar
2022

GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions

NeurIPS 2022accept

We investigate the generalization capabilities of neural signed distance functions (SDFs) for learning 3D object representations for unseen and unlabeled point clouds. Existing methods can fit SDFs to a handful of object classes and boast fine detail or fast inference speeds, but do not generalize w…

2022

The Implicit Values of a Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement

CVPR 2022oral

Modern smartphones can continuously stream multi-megapixel RGB images at 60Hz, synchronized with high-quality 3D pose information and low-resolution LiDAR-driven depth estimates. During a snapshot photograph, the natural unsteadiness of the photographer's hands offers millimeter-scale variation in c…

Cited by 17PDFcodeScholar
2021

Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging

CVPR 2021poster

We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-flight (ToF) depth captures. FPs are pervasive artifacts which occur around depth edges, where light paths from both an object and its background are integrated over the aperture. This light mixes at a sensor pixel to produce er…

Cited by 23PDFcodeScholar