Dge: Direct gaussian 3d editing by consistent multi-view editing
We consider the problem of editing 3D objects and scenes based on open-ended language
instructions. A common approach to this problem is to use a 2D image generator or editor to …
instructions. A common approach to this problem is to use a 2D image generator or editor to …
Neural Radiance Field-based Visual Rendering: A Comprehensive Review
In recent years, Neural Radiance Fields (NeRF) has made remarkable progress in the field
of computer vision and graphics, providing strong technical support for solving key tasks …
of computer vision and graphics, providing strong technical support for solving key tasks …
Survey on controlable image synthesis with deep learning
S Zhang, J Li, L Yang - arXiv preprint arXiv:2307.10275, 2023 - arxiv.org
Image synthesis has attracted emerging research interests in academic and industry
communities. Deep learning technologies especially the generative models greatly inspired …
communities. Deep learning technologies especially the generative models greatly inspired …
FusedRF: Fusing Multiple Radiance Fields
Radiance Fields (RFs) have shown great potential to represent scenes from casually
captured discrete views. Compositing parts or whole of multiple captured scenes could …
captured discrete views. Compositing parts or whole of multiple captured scenes could …
Taming Latent Diffusion Model for Neural Radiance Field Inpainting
Neural Radiance Field (NeRF) is a representation for 3D reconstruction from multi-view
images. Despite some recent work showing preliminary success in editing a reconstructed …
images. Despite some recent work showing preliminary success in editing a reconstructed …
Point Resampling and Ray Transformation Aid to Editable NeRF Models
In NeRF-aided editing tasks, object movement presents difficulties in supervision generation
due to the introduction of variability in object positions. Moreover, the removal operations of …
due to the introduction of variability in object positions. Moreover, the removal operations of …
ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting
G Stanishevskii, J Steczkiewicz, T Szczepanik… - arXiv preprint arXiv …, 2024 - arxiv.org
Numerous emerging deep-learning techniques have had a substantial impact on computer
graphics. Among the most promising breakthroughs are the recent rise of Neural Radiance …
graphics. Among the most promising breakthroughs are the recent rise of Neural Radiance …
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
M Shahbazi, L Claessens, M Niemeyer… - arXiv preprint arXiv …, 2024 - arxiv.org
We introduce InseRF, a novel method for generative object insertion in the NeRF
reconstructions of 3D scenes. Based on a user-provided textual description and a 2D …
reconstructions of 3D scenes. Based on a user-provided textual description and a 2D …
ChatCam: Empowering Camera Control through Conversational AI
Cinematographers adeptly capture the essence of the world, crafting compelling visual
narratives through intricate camera movements. Witnessing the strides made by large …
narratives through intricate camera movements. Witnessing the strides made by large …
MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
Novel View Synthesis (NVS) and 3D generation have recently achieved prominent
improvements. However, these works mainly focus on confined categories or synthetic 3D …
improvements. However, these works mainly focus on confined categories or synthetic 3D …