Peter Wonka Research
Peter Wonka Research
  • Видео 100
  • Просмотров 75 883
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models; Biao Zhang, Jiapeng Tang, Matthias Niessner, Peter Wonka; ACM Siggraph / ACM Transactions on Graphics 2023
Keywords: Neural Fields; 3D Generative Modeling; Generative Diffusion Models; Shape Autoencoding; 3D Data Structures
arxiv.org/abs/2301.11445
Просмотров: 1 360

Видео

LocalBins: Improving Depth Estimation by Learning Local Distributions
Просмотров 565Год назад
LocalBins: Improving Depth Estimation by Learning Local Distributions SF Bhat, I Alhashim, P Wonka ECCV 2022 Short Paper Presentation
DLFVC - 60 - Neural Architecture Search
Просмотров 4013 года назад
Introduction to Neural Architecture Search; NAS; Deep Learning;
DLFVC - 50 - Point Clouds - Part 4 / 4
Просмотров 3263 года назад
Deep Learning; Applications of Point Cloud Processing; Classification; Segmentation; Instance Segmentation; Detection; Normal Estimation;
DLFVC - 50 - Point Clouds - Part 3 / X
Просмотров 2753 года назад
Deep Learning; Point Clouds; PointNet , DGCNN; KPConv;
DLFVC - 50 - Point Clouds Part 2 / X
Просмотров 1983 года назад
PointNet CVPR 2017; details of the original paper; deep learning;
DLFVC - 50 - Point Clouds Part 1 / X
Просмотров 3313 года назад
Introduction to Point Clouds; Deep Learning
Tutorial: Integer Programming for Visual Computing - Part 5 / 5
Просмотров 1003 года назад
Mixed Integer Quadratic Programming (MIQP); Quadratic Assignment Problem; Mixed Integer Quadtractically Constrained Programming (MIQCP);
DLVC - 41 - Generative Adversarial Networks - Part 5 / 5
Просмотров 1163 года назад
Generative Adversarial Networks; Cycle Consistency; Various Networks
Tutorial: Integer Programming for Visual Computing - Part 3 / 5
Просмотров 683 года назад
Examples of Integer Programming involving Graphs; Minimum Spanning Tree; Traveling Salesman; Tourist Trip Planning;
Tutorial: Integer Programming for Visual Computing - Part 2 / 5
Просмотров 823 года назад
Examples of Linear Integer Programming Formulations; Knapsack Problem; Linear Assignment; Map Labeling; Tiling; Camera Placement; Shape Matching; Tourist Map Layouts;
Tutorial: Integer Programming for Visual Computing - Part 1 / 5
Просмотров 3203 года назад
Introduction to Optimization and Integer Programming
DLVC - 41 - Generative Adversarial Networks - Part 4 / X
Просмотров 1223 года назад
GAN Example from the original paper; DC GAN
DLVC - 41 - Generative Adversarial Networks - Part 3 / X
Просмотров 943 года назад
Explanation of the original GAN equation and general GAN setup; Deep Learning
DLFVC - 41 - Generative Adversarial Networks Part 1 / X
Просмотров 1653 года назад
DLFVC - 41 - Generative Adversarial Networks Part 1 / X
DLFVC - 41 - Generative Adversarial Networks Part 2 / X
Просмотров 753 года назад
DLFVC - 41 - Generative Adversarial Networks Part 2 / X
DLFVC - 41 - Generative Adversarial Networks Part 1 / X broken video
Просмотров 1573 года назад
DLFVC - 41 - Generative Adversarial Networks Part 1 / X broken video
DLVC - 33 - Per Pixel Output: Segmentation, Depth Estimation, ... - Part 2 / X
Просмотров 933 года назад
DLVC - 33 - Per Pixel Output: Segmentation, Depth Estimation, ... - Part 2 / X
DLVC - 33 - Per Pixel Output: Segmentation, Depth Estimation, ... - Part 1 / X
Просмотров 1433 года назад
DLVC - 33 - Per Pixel Output: Segmentation, Depth Estimation, ... - Part 1 / X
DLFVC - 18 - Network Analysis - Part 3 / 3
Просмотров 603 года назад
DLFVC - 18 - Network Analysis - Part 3 / 3
DLFVC - 18 - Network Analysis - Part 2 / 3
Просмотров 463 года назад
DLFVC - 18 - Network Analysis - Part 2 / 3
DLFVC - 18 - Network Analysis - Part 1 / 3
Просмотров 733 года назад
DLFVC - 18 - Network Analysis - Part 1 / 3
DLFVC - D02 - Visualization using Tensorboard
Просмотров 1053 года назад
DLFVC - D02 - Visualization using Tensorboard
DLFVC - 17 - Visualization
Просмотров 1743 года назад
DLFVC - 17 - Visualization
DLFVC - 16 - Classification Architectures Part 2/2
Просмотров 1073 года назад
DLFVC - 16 - Classification Architectures Part 2/2
DLFVC - 16 - Classification Architectures Part 1 / 2
Просмотров 1093 года назад
DLFVC - 16 - Classification Architectures Part 1 / 2
DLFVC - 31 - Style Transfer
Просмотров 2453 года назад
DLFVC - 31 - Style Transfer
DLFVC - 30 - Texture Synthesis
Просмотров 3303 года назад
DLFVC - 30 - Texture Synthesis
DLFVC - 14 - Part 2/3 - Introduction, SGD, Momentum
Просмотров 1734 года назад
DLFVC - 14 - Part 2/3 - Introduction, SGD, Momentum
DLFVC - 14 - Part 3/3 - RMSPropo, ADAM, RAdam, Lookahead, Novograd
Просмотров 3134 года назад
DLFVC - 14 - Part 3/3 - RMSPropo, ADAM, RAdam, Lookahead, Novograd

Комментарии

  • @gogopet
    @gogopet 3 месяца назад

    I would like to commission a project from you, how do I contact you?

  • @OsamaMustafa-DTU
    @OsamaMustafa-DTU 6 месяцев назад

    Thank you for your invaluable advice. I'm enthusiastic about the prospect of working under your mentorship to further develop these abilities.

  • @asimshaikh5350
    @asimshaikh5350 7 месяцев назад

    Part 2 please

  • @zxy-j6z
    @zxy-j6z 8 месяцев назад

    May I ask if there are any written records or blogs about this content?

  • @raghavamorusupalli7557
    @raghavamorusupalli7557 Год назад

    Sir, thank you for your incredible efforts in the preparation of the contents and for presenting them so elegantly!

  • @raghavamorusupalli7557
    @raghavamorusupalli7557 Год назад

    Wonderful stuff sir

  • @flake22
    @flake22 Год назад

    Great video and very helpful. That was the missing link in data preprocessing for me. One follow up question about multi dimensional tensors. For example, I have a timeseries of sensor readings that I want to feed into a Transformer Encoder model. I want to treat all sensor readings per timestep as a feature vector. The dataset has then the shape (#samples, sequence_length, features) Since the sensor readings are in different magnitudes, I absolutely need to normalize it. Should I normalize it individually over one sample (meaning over one sequence) to keep the temporal relationship, or should I normalize it over the whole dataset, like in your 2d example? Second question: In some NLP tasks the word embeddings are also normalized but with L2 normalization such that the embedding vector is scaled to unit length (over last axis). You also presented a few more normalizations like min-max, max-abs and robust. In which scenario is it best to use what normalization? Can one combine multiple normalizations, like minmax and mean/var? Which normalization technique would you recommend, given the description of my dataset above? Sorry for the long question, I couldn't find good information about normalization. Greetings.

  • @gogopet
    @gogopet Год назад

    Are you developing this project still?

  • @harilalmn
    @harilalmn 2 года назад

    Hi.. Very interesting... I wish to contact you to know further about the approach and the algorithm...

  • @Metrawolf
    @Metrawolf 2 года назад

    Whatever became of this project after this SIGGRAPH presentation?

  • @surjayshivakota3939
    @surjayshivakota3939 2 года назад

    can i ouder some art

  • @amursaqibpal587
    @amursaqibpal587 2 года назад

    Great lecture, thank you!

  • @chriss740
    @chriss740 2 года назад

    I presume the 'arm' used is a general purpose robotic device, used for other purposes? Otherwise, this looks like an expensive hobby!

  • @adhammohamedsalaheldeen7988
    @adhammohamedsalaheldeen7988 2 года назад

    thank you for this video, I was just wondering how for example the input is 256x256 and the output is 512x512?

  • @gogopet
    @gogopet 2 года назад

    Is that softaware I would like to buy

    • @jeremylin8465
      @jeremylin8465 2 месяца назад

      Somebody re-made it github.com/ProbableTrain/MapGenerator/tree/master

    • @gogopet
      @gogopet 2 месяца назад

      ​@@jeremylin8465 wow wow Thank you thank you

  • @samahelsiedy
    @samahelsiedy 2 года назад

    String art ruclips.net/video/KWeNLzpAPE0/видео.html

  • @94Husam
    @94Husam 2 года назад

    Great explanations, thank you

  • @yanpogutsa
    @yanpogutsa 2 года назад

    7 years passed no one had even tried to implement this workflow(

    • @mr.m2675
      @mr.m2675 Год назад

      i guess Plasticity 3D did

  • @cyanmargh
    @cyanmargh 2 года назад

    Hello. Is this channel still alive? I would like to contact you and discuss some of your old videos. I am wondering how you have implemented some of the functionality. Could you provide an email address for further correspondence, please?

  • @cyanmargh
    @cyanmargh 3 года назад

    very underrated video

  • @kirillqes3062
    @kirillqes3062 3 года назад

    how to make a portrait more realistic? please tell me.

  • @VNcarpenter
    @VNcarpenter 3 года назад

    Maths 😞

  • @eduardolarrymarinsilva76
    @eduardolarrymarinsilva76 3 года назад

    Would it be possible to implement a similar technique, but allowing the thread to wrap around the outside of several pins? I think that may reduce the artifacts of the image

    • @binyaminmanela3585
      @binyaminmanela3585 3 года назад

      To do that, you would have to look atleast two steps ahead (or other wised the algorithm wouldn'tsee the advantageof such a move), which will multiply the time complexity.

    • @WillHirschUK
      @WillHirschUK 2 года назад

      The difference between wrapping around the outside and doing short connections between adjacent pins is pretty negligible (in any case the area nearest the edge of the circle ends up completely filled in with thread) so provided the search algorithm can explore connecting enough of these together it will already be doing this.

    • @chriss740
      @chriss740 2 года назад

      @@binyaminmanela3585 Isn't that what computers are good at ...? Also, couldn't you simply re-write the algorithm to allow 'free form' lines without the constraint that the end of one line must be the start of the next line? That way, the 'plan' would be for thousands of independent lines, and then the issue of wrapping thread around the outside of the pins would just be a matter of logistics - getting the thread to where it needs to be.

  • @openroomxyz
    @openroomxyz 3 года назад

    If is Art than you should no destroy it at end, but put it in gallery or in your home.

  • @chris24hdez
    @chris24hdez 3 года назад

    3:28 Nooooo!

  • @andrewworries4558
    @andrewworries4558 3 года назад

    0:10 This private method earn 5000$ in 2 days codz2019.blogspot.com/2020/09/150-case-study.html

  • @sitiramadhani
    @sitiramadhani 3 года назад

    I really hope there is an opportunity for joining your research group prof.

  • @sitiramadhani
    @sitiramadhani 3 года назад

    awfull thank for your sharing Prof.

  • @fantashio
    @fantashio 4 года назад

    Nice work! Let's grow together.

  • @kotvkvante22
    @kotvkvante22 4 года назад

    sounds cool, but I didn't understand anything

  • @konstantinburlachenko2843
    @konstantinburlachenko2843 4 года назад

    03:52 - overview of the program guide in cemse.kaust.edu.sa/cs/study#programguide 13:00 - definitions in the program guide 16:25 - non-regular courses 17:50 - a requirement for all students 24:40 - MS program requirement 28:45 - Ph.D. program requirement 31:00 - Ph.D. (course-based) qualification exams. Briefly: 3 eligible course from different bins/category (from different faculty)

  • @TheEngineerGuy
    @TheEngineerGuy 4 года назад

    Is it going to be an online series?

  • @clydemarindo3177
    @clydemarindo3177 4 года назад

    I know that this is a relatively old video, but where can I learn quadrangulations especially quadrangulating with arbitary points in each side.

  • @enriquejara699
    @enriquejara699 4 года назад

    ah yes the good old windows xp

  • @liyunzhang4276
    @liyunzhang4276 4 года назад

    it looks great, but have you calculate the accuracy of the reconstructed model compared with ground truth?

  • @better_dead_than_red
    @better_dead_than_red 4 года назад

    Балин хочу уже на самоизоляцию с сосачерами в Битардск Че там куда балки нести?

  • @ajaykhedkar6497
    @ajaykhedkar6497 4 года назад

    Hello sir, It's very nice video. could you tell me which software is this? please upload similar videos on optimization lattice dome structure and I will be very thankful if tell me some references for optimization. thank you...

  • @ep1taph31
    @ep1taph31 5 лет назад

    I hate when they rip it apart at the end

  • @mohamedalhammadi7840
    @mohamedalhammadi7840 5 лет назад

    Which software you used to transfare a photo to art

  • @meta3d562
    @meta3d562 5 лет назад

    Is it possible for you to share the used code? leonardoayache@hotmail.com

    • @randomrandom316
      @randomrandom316 3 года назад

      If you are still on the look out and Matlab works for you then - ruclips.net/video/M1gXuKFspgY/видео.html&ab_channel=BartonDring This talks about the matlab code you might be looking out for.

  • @kayleezhu7328
    @kayleezhu7328 5 лет назад

    Thanks for the video! I am wondering how can I download the software you demonstrate in the video?

  • @austinrivera6421
    @austinrivera6421 6 лет назад

    Great work! Do you have MATLAB files you'd be willing to share to utilize / test the methods?

  • @jefersonromuloy
    @jefersonromuloy 6 лет назад

    Is it possible to get input data examples that were used in the paper?

  • @izmaelverhage
    @izmaelverhage 7 лет назад

    Is there a public code example? I'd like to do vector texture mapping in my pet project, maybe this will work well.

  • @colahuang1251
    @colahuang1251 8 лет назад

    Good job! However, the interaction is a little complex from the single view image. Could multi view images improve the accuracy and automation of the reconstruction?

  • @JunkerJames
    @JunkerJames 8 лет назад

    This is like magic!

  • @iceanimemusicvideo
    @iceanimemusicvideo 9 лет назад

    That's amazing... Hope I can do this someday too...

  • @HTTimChen
    @HTTimChen 10 лет назад

    great work!

  • @benoeilnoir
    @benoeilnoir 11 лет назад

    Very good job ! Do you share more info on a blog or something?

  • @tiagotiagot
    @tiagotiagot 12 лет назад

    I hope there are no legal obstacles (nor technical ones) for getting this on Blender...