Search Results for author:
Found 8 papers, 3 papers with code
ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion
Given a single image of a 3D object, this paper proposes a novel method (named ConsistNet) that is able to generate multiple images of the same object, as if seen they are captured from different viewpoints, while the 3D (multi-view) consistencies among those multiple generated images are effectively exploited.
Stereo Matching in Time: 100+ FPS Video Stereo Matching for Extended Reality
One of the major difficulties is the lack of high-quality indoor video stereo training datasets captured by head-mounted VR/AR glasses.
WildLight: In-the-wild Inverse Rendering with a Flashlight
Our system recovers scene geometry and reflectance using only multi-view images captured by a smartphone.
Unsupervised Video Interpolation by Learning Multilayered 2.5D Motion Fields
This implicit neural representation learns the video as a space-time continuum, allowing frame interpolation at any temporal resolution.
Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance
Recovering the 3D geometry of a purely texture-less object with generally unknown surface reflectance (e. g. non-Lambertian) is regarded as a challenging task in multi-view reconstruction.
One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet
This paper proposes a simple method which solves an open problem of multi-view 3D-Reconstruction for objects with unknown and generic surface materials, imaged by a freely moving camera and a freely moving point light source.
Non-Local Intrinsic Decomposition With Near-Infrared Priors
With this observation, we formulate intrinsic decomposition as an energy minimisation problem.
Semantic Single-Image Dehazing
In experiments, we validate our ap- proach upon synthetic and real hazy images, where our method showed superior performance over state-of-the-art approaches, suggesting semantic information facilitates the haze removal task.
