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 …
multimedia content can now provide a very advanced level of realism. The boundary …
State of the art on neural rendering
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
Neus2: Fast learning of neural implicit surfaces for multi-view reconstruction
Recent methods for neural surface representation and rendering, for example NeuS, have
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …
Maskgit: Masked generative image transformer
Generative transformers have experienced rapid popularity growth in the computer vision
community in synthesizing high-fidelity and high-resolution images. The best generative …
community in synthesizing high-fidelity and high-resolution images. The best generative …
Visual prompting via image inpainting
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 …
specific finetuning or any model modification? Inspired by prompting in NLP, this paper …
Mat: Mask-aware transformer for large hole image inpainting
Recent studies have shown the importance of modeling long-range interactions in the
inpainting problem. To achieve this goal, existing approaches exploit either standalone …
inpainting problem. To achieve this goal, existing approaches exploit either standalone …
Palette: Image-to-image diffusion models
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 …
conditional diffusion models and evaluates this framework on four challenging image-to …
Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
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 …
objects and scenes with high fidelity from 2D image inputs. Existing neural surface …
Volume rendering of neural implicit surfaces
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 …
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
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 …
flow network RAFT [35]. We introduce multi-level convolutional GRUs, which more efficiently …