CompNVS: Novel View Synthesis with Scene Completion
We introduce a scalable framework for novel view synthesis from RGB-D images with largely incomplete scene coverage. While generative neural approaches have demonstrated spectacular results on 2D images, they have not yet achieved similar photorealistic results in combination with scene completion where a spatial 3D scene understanding is essential. To
Li, Z. +6 more
openaire +4 more sources
4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes [PDF]
We consider the problem of novel-view synthesis (NVS) for dynamic scenes. Recent neural approaches have accomplished exceptional NVS results for static 3D scenes, but extensions to 4D time-varying scenes remain non-trivial.
Yuanxing Duan +5 more
semanticscholar +1 more source
Neural Radiance Fields for High-Resolution Remote Sensing Novel View Synthesis
Remote sensing images play a crucial role in remote sensing target detection and 3D remote sensing modeling, and the enhancement of resolution holds significant application implications.
Junwei Lv +4 more
doaj +1 more source
Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos [PDF]
Gaussian splatting has become a popular representation for novel-view synthesis, exhibiting clear strengths in efficiency, photometric quality, and compositional edibility.
Colton Stearns +6 more
semanticscholar +1 more source
Neural Point Catacaustics for Novel-View Synthesis of Reflections [PDF]
View-dependent effects such as reflections pose a substantial challenge for image-based and neural rendering algorithms. Above all, curved reflectors are particularly hard, as they lead to highly non-linear reflection flows as the camera moves.
Georgios Kopanas +4 more
semanticscholar +1 more source
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction [PDF]
Neural Radiance Fields (NeRF) [24] has achieved impressive results in single object scene reconstruction and novel view synthesis, as demonstrated on many single modality and single object focused indoor scene datasets like DTU [14], BMVS [42], and NeRF ...
Chongshan Lu +5 more
semanticscholar +1 more source
NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis
Multi-View Stereo (MVS) is a core task in 3D computer vision. With the surge of novel deep learning methods, learned MVS has surpassed the accuracy of classical approaches, but still relies on building a memory intensive dense cost volume. Novel View Synthesis (NVS) is a parallel line of research and has recently seen an increase in popularity with ...
Rosu, Radu Alexandru, Behnke, Sven
openaire +2 more sources
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models [PDF]
Generating novel views of an object from a single image is a challenging task. It requires an understanding of the underlying 3D structure of the object from an image and ren-dering high-quality, spatially consistent new views.
Jeong-gi Kwak +5 more
semanticscholar +1 more source
Fast and Accurate Light Field View Synthesis by Optimizing Input View Selection
There is a trade-off between spatial resolution and angular resolution limits in light field applications; various targeted algorithms have been proposed to enhance angular resolution while ensuring high spatial resolution simultaneously, which is also ...
Xingzheng Wang +4 more
doaj +1 more source
MultiDiff: Consistent Novel View Synthesis from a Single Image [PDF]
We introduce MultiDiff, a novel approach for consistent novel view synthesis of scenes from a single RGB image. The task of synthesizing novel views from a single reference image is highly ill-posed by nature, as there exist multiple, plausible ...
Norman Müller +6 more
semanticscholar +1 more source

