Is vanilla MLP in neural radiance field enough for few-shot view synthesis?
Abstract Neural Radiance Field (NeRF) has achieved superior performance for novel view
synthesis by modeling the scene with a Multi-Layer Perception (MLP) and a volume …
synthesis by modeling the scene with a Multi-Layer Perception (MLP) and a volume …
NeRF in Robotics: A Survey
Meticulous 3D environment representations have been a longstanding goal in computer
vision and robotics fields. The recent emergence of neural implicit representations has …
vision and robotics fields. The recent emergence of neural implicit representations has …
CMC: Few-shot Novel View Synthesis via Cross-view Multiplane Consistency
Neural Radiance Field (NeRF) has shown impressive results in novel view synthesis,
particularly in Virtual Reality (VR) and Augmented Reality (AR), thanks to its ability to …
particularly in Virtual Reality (VR) and Augmented Reality (AR), thanks to its ability to …
Text to image latent diffusion model with dreambooth fine tuning for automobile image generation
MF Sutedy, NN Qomariyah - 2022 5th International Seminar on …, 2022 - ieeexplore.ieee.org
This paper will explain the generated text to image using Latent Diffusion Model while
combining it with a pre-training model called DreamBooth fine tuning. There have been …
combining it with a pre-training model called DreamBooth fine tuning. There have been …
Anisotropic Neural Representation Learning for High-Quality Neural Rendering
Neural radiance fields (NeRFs) have achieved impressive view synthesis results by learning
an implicit volumetric representation from multi-view images. To project the implicit …
an implicit volumetric representation from multi-view images. To project the implicit …
Self-NeRF: A Self-Training Pipeline for Few-Shot Neural Radiance Fields
Recently, Neural Radiance Fields (NeRF) have emerged as a potent method for
synthesizing novel views from a dense set of images. Despite its impressive performance …
synthesizing novel views from a dense set of images. Despite its impressive performance …