Media forensics and deepfakes: an overview

L Verdoliva - IEEE journal of selected topics in signal …, 2020 - ieeexplore.ieee.org
With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

State of the art on neural rendering

A Tewari, O Fried, J Thies, V Sitzmann… - Computer Graphics …, 2020 - Wiley Online Library
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

Neus2: Fast learning of neural implicit surfaces for multi-view reconstruction

Y Wang, Q Han, M Habermann… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recent methods for neural surface representation and rendering, for example NeuS, have
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …

Maskgit: Masked generative image transformer

H Chang, H Zhang, L Jiang, C Liu… - Proceedings of the …, 2022 - openaccess.thecvf.com
Generative transformers have experienced rapid popularity growth in the computer vision
community in synthesizing high-fidelity and high-resolution images. The best generative …

Visual prompting via image inpainting

A Bar, Y Gandelsman, T Darrell… - Advances in Neural …, 2022 - proceedings.neurips.cc
How does one adapt a pre-trained visual model to novel downstream tasks without task-
specific finetuning or any model modification? Inspired by prompting in NLP, this paper …

Mat: Mask-aware transformer for large hole image inpainting

W Li, Z Lin, K Zhou, L Qi, Y Wang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Recent studies have shown the importance of modeling long-range interactions in the
inpainting problem. To achieve this goal, existing approaches exploit either standalone …

Palette: Image-to-image diffusion models

C Saharia, W Chan, H Chang, C Lee, J Ho… - ACM SIGGRAPH 2022 …, 2022 - dl.acm.org
This paper develops a unified framework for image-to-image translation based on
conditional diffusion models and evaluates this framework on four challenging image-to …

Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction

P Wang, L Liu, Y Liu, C Theobalt, T Komura… - arxiv preprint arxiv …, 2021 - arxiv.org
We present a novel neural surface reconstruction method, called NeuS, for reconstructing
objects and scenes with high fidelity from 2D image inputs. Existing neural surface …

Volume rendering of neural implicit surfaces

L Yariv, J Gu, Y Kasten… - Advances in Neural …, 2021 - proceedings.neurips.cc
Neural volume rendering became increasingly popular recently due to its success in
synthesizing novel views of a scene from a sparse set of input images. So far, the geometry …

Raft-stereo: Multilevel recurrent field transforms for stereo matching

L Lipson, Z Teed, J Deng - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
We introduce RAFT-Stereo, a new deep architecture for rectified stereo based on the optical
flow network RAFT [35]. We introduce multi-level convolutional GRUs, which more efficiently …