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Found 13 papers, 7 papers with code
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.
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.
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.
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.
