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 can generate multiple images of the same object as if they are captured …
ConsistNet) that can generate multiple images of the same object as if they are captured …
Contranerf: Generalizable neural radiance fields for synthetic-to-real novel view synthesis via contrastive learning
Although many recent works have investigated generalizable NeRF-based novel view
synthesis for unseen scenes, they seldom consider the synthetic-to-real generalization …
synthesis for unseen scenes, they seldom consider the synthetic-to-real generalization …
Giganticnvs: Gigapixel large-scale neural rendering with implicit meta-deformed manifold
The rapid advances of high-performance sensation empowered gigapixel-level
imaging/videography for large-scale scenes, yet the abundant details in gigapixel images …
imaging/videography for large-scale scenes, yet the abundant details in gigapixel images …
Pr-rrn: pairwise-regularized residual-recursive networks for non-rigid structure-from-motion
We propose PR-RRN, a novel neural-network based method for Non-rigid Structure-from-
Motion (NRSfM). PR-RRN consists of Residual-Recursive Networks (RRN) and two extra …
Motion (NRSfM). PR-RRN consists of Residual-Recursive Networks (RRN) and two extra …
[HTML][HTML] Deep view synthesis with compact and adaptive multiplane images
Abstract Multiplane Images (MPIs) have shown to be excellent scene representations to
synthesize new scene views. Indeed, MPIs are able to model challenging occlusions and …
synthesize new scene views. Indeed, MPIs are able to model challenging occlusions and …
Learning a Locally Unified 3D Point Cloud for View Synthesis
In this paper, we explore the problem of 3D point cloud representation-based view synthesis
from a set of sparse source views. To tackle this challenging problem, we propose a new …
from a set of sparse source views. To tackle this challenging problem, we propose a new …
Content-aware warping for view synthesis
Existing image-based rendering methods usually adopt depth-based image warping
operation to synthesize novel views. In this paper, we reason the essential limitations of the …
operation to synthesize novel views. In this paper, we reason the essential limitations of the …
Monocular camera-based point-goal navigation by learning depth channel and cross-modality pyramid fusion
For a monocular camera-based navigation system, if we could effectively explore scene
geometric cues from RGB images, the geometry information will significantly facilitate the …
geometric cues from RGB images, the geometry information will significantly facilitate the …
Learning robust image-based rendering on sparse scene geometry via depth completion
Recent image-based rendering (IBR) methods usually adopt plenty of views to reconstruct
dense scene geometry. However, the number of available views is limited in practice. When …
dense scene geometry. However, the number of available views is limited in practice. When …
Depth self-supervision for single image novel view synthesis
In this paper, we tackle the problem of generating a novel image from an arbitrary viewpoint
given a single frame as input. While existing methods operating in this setup aim at …
given a single frame as input. While existing methods operating in this setup aim at …