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Found 10 papers, 4 papers with code
Lumiere: A Space-Time Diffusion Model for Video Generation
We introduce Lumiere -- a text-to-video diffusion model designed for synthesizing videos that portray realistic, diverse and coherent motion -- a pivotal challenge in video synthesis.
Ranked #6 on
Text-to-Video Generation
on UCF-101
SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field
We modify the classical spectral rendering into two main steps, 1) the generation of a series of spectrum maps spanning different wavelengths, 2) the combination of these spectrum maps for the RGB output.
Exposure Fusion for Hand-held Camera Inputs with Optical Flow and PatchMatch
The method combines the efficiency of optical flow and the accuracy of PatchMatch.
SIRA-PCR: Sim-to-Real Adaptation for 3D Point Cloud Registration
We design SIRA-PCR, a new approach to 3D point cloud registration.
Cross-Block Difference Guided Fast CU Partition for VVC Intra Coding
In this paper, we propose a new fast CU partition algorithm for VVC intra coding based on cross-block difference.
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration
Data association is important in the point cloud registration.
Low-Complexity Symbol Detection and Interference Cancellation for OTFS System
Orthogonal time frequency space (OTFS) is a two-dimensional modulation scheme realized in the delay- Doppler domain, which targets the robust wireless transmissions in high-mobility environments.
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration
On the other hand, previous global feature based approaches can utilize the entire point cloud for the registration, however they ignore the negative effect of non-overlapping points when aggregating global features.
UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data
The ground truth images play a leading role in generating reasonable HDR images.
JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks
We design a multi-task pipeline that includes, (1) a classification branch to classify jigsaw permutations, and (2) a GAN branch to recover features to images in correct orders.
