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Found 14 papers, 7 papers with code
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
Each Ellicell ray is associated with the rendering parameters of each ellipsoid, which in turn is used to obtain the best bindings between the target image pixels and the cast rays.
IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model
We introduce IFFNeRF to estimate the six degrees-of-freedom (6DoF) camera pose of a given image, building on the Neural Radiance Fields (NeRF) formulation.
Towards the Reusability and Compositionality of Causal Representations
Causal Representation Learning (CRL) aims at identifying high-level causal factors and their relationships from high-dimensional observations, e. g., images.
PRAGO: Differentiable Multi-View Pose Optimization From Objectness Detections
Robustly estimating camera poses from a set of images is a fundamental task which remains challenging for differentiable methods, especially in the case of small and sparse camera pose graphs.
3DoF Localization from a Single Image and an Object Map: the Flatlandia Problem and Dataset
Efficient visual localization is crucial to many applications, such as large-scale deployment of autonomous agents and augmented reality.
Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
We present Positional Diffusion, a plug-and-play graph formulation with Diffusion Probabilistic Models to address positional reasoning.
Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding
Knowledge Graphs (KGs) have proven to be a reliable way of structuring data.
PoserNet: Refining Relative Camera Poses Exploiting Object Detections
The estimation of the camera poses associated with a set of images commonly relies on feature matches between the images.
GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image
Puzzle solving is a combinatorial challenge due to the difficulty of matching adjacent pieces.
LIGHTS: LIGHT Specularity Dataset for specular detection in Multi-view
Therefore, we propose a novel physically-based rendered LIGHT Specularity (LIGHTS) Dataset for the evaluation of the specular highlight detection task.
Consistent Mesh Colors for Multi-View Reconstructed 3D Scenes
We then use this color in a re-weighting ratio for the best-view texture, which is identified by prior mesh texturing work, to create a spatial consistent texture map.
Mixing realities for sketch retrieval in Virtual Reality
While we pose our work as a retrieval problem for 3D models of chairs, our results can be extrapolated to other sketching tasks for virtual environments.
re-OBJ: Jointly Learning the Foreground and Background for Object Instance Re-identification
Conventional approaches to object instance re-identification rely on matching appearances of the target objects among a set of frames.
Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoning
Recent approaches on visual scene understanding attempt to build a scene graph -- a computational representation of objects and their pairwise relationships.
