Nope-nerf: Optimising neural radiance field with no pose prior
Abstract Training a Neural Radiance Field (NeRF) without pre-computed camera poses is
challenging. Recent advances in this direction demonstrate the possibility of jointly …
challenging. Recent advances in this direction demonstrate the possibility of jointly …
Metric3d: Towards zero-shot metric 3d prediction from a single image
Reconstructing accurate 3D scenes from images is a long-standing vision task. Due to the ill-
posedness of the single-image reconstruction problem, most well-established methods are …
posedness of the single-image reconstruction problem, most well-established methods are …
Dust3r: Geometric 3d vision made easy
Multi-view stereo reconstruction (MVS) in the wild requires to first estimate the camera
intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain yet …
intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain yet …
Zeronvs: Zero-shot 360-degree view synthesis from a single real image
We introduce a 3D-aware diffusion model, ZeroNVS, for single-image novel view synthesis
for in-the-wild scenes. While existing methods are designed for single objects with masked …
for in-the-wild scenes. While existing methods are designed for single objects with masked …
SoccerNet-Depth: a scalable dataset for monocular depth estimation in sports videos
Abstract Monocular Depth Estimation (MDE) is fundamental in sports video understanding
enhancing augmented graphics scene understanding and game state reconstruction …
enhancing augmented graphics scene understanding and game state reconstruction …
Scade: Nerfs from space carving with ambiguity-aware depth estimates
Neural radiance fields (NeRFs) have enabled high fidelity 3D reconstruction from multiple
2D input views. However, a well-known drawback of NeRFs is the less-than-ideal …
2D input views. However, a well-known drawback of NeRFs is the less-than-ideal …
Learning to fuse monocular and multi-view cues for multi-frame depth estimation in dynamic scenes
Multi-frame depth estimation generally achieves high accuracy relying on the multi-view
geometric consistency. When applied in dynamic scenes, eg, autonomous driving, this …
geometric consistency. When applied in dynamic scenes, eg, autonomous driving, this …
Depthsplat: Connecting gaussian splatting and depth
Gaussian splatting and single/multi-view depth estimation are typically studied in isolation.
In this paper, we present DepthSplat to connect Gaussian splatting and depth estimation …
In this paper, we present DepthSplat to connect Gaussian splatting and depth estimation …
Hierarchical normalization for robust monocular depth estimation
In this paper, we address monocular depth estimation with deep neural networks. To enable
training of deep monocular estimation models with various sources of datasets, state-of-the …
training of deep monocular estimation models with various sources of datasets, state-of-the …
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image
We introduce a 3D-aware diffusion model ZeroNVS for single-image novel view synthesis
for in-the-wild scenes. While existing methods are designed for single objects with masked …
for in-the-wild scenes. While existing methods are designed for single objects with masked …