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Found 5 papers, 0 papers with code
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image
Further, we observe that Score Distillation Sampling (SDS) tends to truncate the distribution of complex backgrounds during distillation of 360-degree scenes, and propose "SDS anchoring" to improve the diversity of synthesized novel views.
State of the Art on Diffusion Models for Visual Computing
The field of visual computing is rapidly advancing due to the emergence of generative artificial intelligence (AI), which unlocks unprecedented capabilities for the generation, editing, and reconstruction of images, videos, and 3D scenes.
Learning Object-Centric Neural Scattering Functions for Free-Viewpoint Relighting and Scene Composition
We propose Object-Centric Neural Scattering Functions (OSFs) for learning to reconstruct object appearance from only images.
3D Neural Field Generation using Triplane Diffusion
Diffusion models have emerged as the state-of-the-art for image generation, among other tasks.
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
Scene extrapolation -- the idea of generating novel views by flying into a given image -- is a promising, yet challenging task.
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