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Found 11 papers, 3 papers with code
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
This work analyzes how the backward error affects the diffusion ODEs and the sample quality in DDPMs.
Raising The Limit Of Image Rescaling Using Auxiliary Encoding
While the random sampling of latent variable $z$ is useful in generating diverse photo-realistic images, it is not desirable for image rescaling when accurate restoration of the HR image is more important.
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model
We propose a simple and novel method for generating 3D human motion from complex natural language sentences, which describe different velocity, direction and composition of all kinds of actions.
Ranked #23 on
Motion Synthesis
on HumanML3D
SoccerNet 2022 Challenges Results
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos
Tracking objects in soccer videos is extremely important to gather both player and team statistics, whether it is to estimate the total distance run, the ball possession or the team formation.
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
Without the boundary information of action segments, existing methods mostly rely on multiple instance learning (MIL), where the predictions of unlabeled instances (i. e., video snippets) are supervised by classifying labeled bags (i. e., untrimmed videos).
Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
With rapidly evolving internet technologies and emerging tools, sports related videos generated online are increasing at an unprecedentedly fast pace.
Sketch-based 3D Shape Retrieval using Convolutional Neural Networks
Almost always in state of the art approaches a large amount of "best views" are computed for 3D models, with the hope that the query sketch matches one of these 2D projections of 3D models using predefined features.
Convolutional Neural Networks for No-Reference Image Quality Assessment
In this work we describe a Convolutional Neural Network (CNN) to accurately predict image quality without a reference image.
Orientation Robust Text Line Detection in Natural Images
In this paper, higher-order correlation clustering (HOCC) is used for text line detection in natural images.
Real-Time No-Reference Image Quality Assessment Based on Filter Learning
Second, the proposed method has the potential to be used in multiple image domains.
