Zhiyang Dou
@frankzydou
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Ph.D. in Graphics @HKUniversity . Visiting Ph.D. @Penn . Geometry&Physics-based Animation&AIGC. Graduation 2025, open to postdoc and research scientist positions.
Philadelphia
Joined July 2020
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🔥Yes! You can achieve REAL-TIME text-to-motion generation using a simulated humanoid to perform various skills!
This feat is realized through the integration of PHC and EMDM.
💬This combination addresses two pivotal challenges in human motion synthesis: ensuring physical
You can now ask your simulated humanoid to perform actions, in REAL-TIME 👇🏻
Powered by the amazing EMDM (
@frankzydou
,
@Alex_wangjingbo
, etal) and PHC.
EMDM:
PHC:
Simulation: Isaac Gym
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Introducing🏃𝐄𝐌𝐃𝐌🏃(𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐌𝐨𝐭𝐢𝐨𝐧 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥)! 🔥Now, you can achieve efficient text-to-motion generation using a diffusion model within only ~𝟎.𝟎𝟓𝐬 for one sequence (MDM takes ~𝟏𝟎𝐬).
Our simple yet effective approach, EMDM, ensures
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🎉 🚀 𝐖𝐨𝐧𝐝𝐞𝐫𝟑𝐃 has been accepted to
#CVPR2024
!
Wonder3D is able to convert a single image into a high-fidelity 3D model, complete with textured meshes and color, in just 2 to 3 minutes.
Congratulations to Xiaoxiao (
@xxlong0
), Benny (
@superbennyguo
) and all
Wonder3D gets accepted to CVPR! Thanks the help from all the coauthors. The full codes including training and data rendering codes are available in our github repo
( too many 3D generative papers recently, cannot believe it just passes three months! )
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(1/3) Introducing 🚀Surf-D🚀, a novel method for generating high-quality 3D shapes as Surfaces with arbitrary topologies using Diffusion models.
Surf-D demonstrates superior performance in 3D shape generation across various modalities (TBC)!
Good job, Zhengming
@Proof_Yu
!
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🔥Check out our SIGGRAPH 2024 paper: 𝐏𝐚𝐫𝐭𝟏𝟐𝟑: 𝐏𝐚𝐫𝐭-𝐚𝐰𝐚𝐫𝐞 𝟑𝐃 𝐑𝐞𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐚 𝐒𝐢𝐧𝐠𝐥𝐞-𝐯𝐢𝐞𝐰 𝐈𝐦𝐚𝐠𝐞.
Diffusion models have advanced single-view reconstruction, but current methods lack 𝗣𝗮𝗿𝘁-𝗯𝗮𝘀𝗲𝗱 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀,
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(3/3) The clothes 🎽👖👗🩳generated by 🚀Surf-D🚀can be used for virtual try-ons with high quality and fidelity. You can just use sketches to generate whatever clothes you want, then put on your own avatar and use captured/generated human motion to animate them :D
#SurfD
#AIGC
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I've just arrived in Denver for SIGGRAPH
@siggraph
. Excited to catch up if you're around!
#SIGGRAPH2024
#siggraph
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💃𝐓𝐋𝐂𝐨𝐧𝐭𝐫𝐨𝐥💃 is a novel and powerful method for controllable human motion generation using both low-level Trajectories ✏️ and high-level Language semantics 💬 controls. It effectively supports multi-joint control :D
𝐓𝐋𝐂𝐨𝐧𝐭𝐫𝐨𝐥 significantly outperforms the SOTAs
Presenting our recent work, 𝐓𝐋𝐂𝐨𝐧𝐭𝐫𝐨𝐥, a new approach to synthesizing realistic human motion. 𝐓𝐋𝐂𝐨𝐧𝐭𝐫𝐨𝐥 effectively integrates low-level trajectories with high-level language semantics for controllable motion generation.
Thank
@frankzydou
and all collaborators!
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Compact Representation Computation for Shapes—Summary of the Coverage Axis Series
The latest work in the Coverage Axis series🐱, Coverage Axis++, has recently been completed and accepted by SGP2024. Here, I provide a summary of our efforts on this problem.
In the Coverage Axis
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Our paper got 𝗧𝗛𝗘 𝗕𝗘𝗦𝗧 𝗣𝗔𝗣𝗘𝗥 𝗔𝗪𝗔𝗥𝗗 𝗮𝘁 #𝗦𝗜𝗚𝗚𝗥𝗔𝗣𝗛𝟮𝟬𝟮𝟯! 🎉🎉🎉
Congratulations to Rui (
@xrvitd
), Ningna (
@ninnnnnglala
) and all collaborators!
🏠Project Page：
📄Paper：
💻Code：
WE GOT THE BEST PAPER AWARD OF
#SIGGRAPH2023
!!!
It's a great honor to receive this award. Our paper focuses on normal consistency, and obtains globally consistent normal vectors by regularizing the Winding-Number field.
✨I'm also actively looking for a PhD position!✨
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Super happy our work TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer, has been accepted by
#ICCV2023
!
TORE maintains competitive (even higher) accuracy in the Human Mesh Recovery while significantly reducing computational costs and improving throughput.
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Aha! When I was attending
@SIGGRAPH
2024, I got an email saying that our co-first-authored journal paper was conditionally accepted to
@SIGGRAPHAsia
2024. Many thanks to our great collaborators!
An interesting way to tag them together.
See you in Tokyo!
#SIGGRAPH
#SIGGRAPH2024
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(1/n) 🌟Introducing our recent work 🚀𝐒𝐎(𝐒𝐞𝐪𝐮𝐞𝐧𝐭𝐢𝐚𝐥𝐥𝐲 𝐎𝐟𝐟𝐬𝐞𝐭)-𝐒𝐌𝐏𝐋🚀.
Now, you can generate animation-ready 3D avatars💃🕺 with disentangled clothes🧥👗👖👔 👚from text descriptions💬.
See our animation result by animating the generated 3D avatars with
Want to generate animation-ready 3D avatars with disentangled clothes, from just text descriptions? Introducing our new work featuring a simple yet effective representation, SO(Sequentially Offset)-SMPL! (1/4)
arxiv:
project:
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The code of 𝗖𝗼𝘃𝗲𝗿𝗮𝗴𝗲 𝗔𝘅𝗶𝘀 is now publicly available.
Coverage Axis is a simple and robust method for shape skeletonization based on Medial Axis Transform. It could handle both meshes and point clouds.
paper:
code:
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One data point of CVPR 24 submission: three papers received scores of [4,4,5], [4,4,2], and [4,4,2]. One paper was accepted by
#CVPR2024
. The outcome for the 442 papers is mixed—not good, but not bad either.
We thank the reviewers and ACs for their efforts; your feedback is
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So many interesting designs at the Fast Forward session
@SIGGRAPHAsia
😄
A constellation of human creativity shining brightly! ✨
And happy to share our work with the community!
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🌟Excited to be at
#CVPR2024
! I'm currently on the job market and open to postdoc or research scientist positions.
🌟My research interests include Character Animation, Geometric Modeling and Processing, Simulation, Computer Graphics, and Human Behavior Analysis. Graduation in
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🔍 Check out our latest research on 3D hand-face interactions! Please check the video🎥!
🔥 Introducing 🎲 ᗪIᑕE, the first end-to-end method that captures hand-face interactions and deformations from a single image.
🎯 Our method achieves state-of-the-art accuracy while
🔍 Check out our latest research on 3D hand-face interactions!
🔥 Introducing 🎲 DICE, the first end-to-end method that captures hand-face interactions and deformations from a single image. (1/n)
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Have a try on 🚀𝐖𝐨𝐧𝐝𝐞𝐫𝟑𝐃🚀 !
A novel & powerful method that efficiently generates high-fidelity textured meshes from single-view images 😉!
Project Page:
Demo:
#Wonder3D
#MeshGeneration
#ComputerVision
#Graphics
#AIGC
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
paper page:
introduce Wonder3D, a novel method for efficiently generating high-fidelity textured meshes from single-view images.Recent methods based on Score Distillation Sampling (SDS) have shown
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The power of Motion Phase! Cool!
✨ICLR 2024 Spotlight
Still hand-labeling phases or tuning GANs with your trajectories?
We propose FLD, a self-supervised representation method that extracts spatial-temporal relationships in high-dimensional trajectories. RL policies informed by FLD show extended generality.🧵
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Come and join us!
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#SIGGRAPHAsia2025
will be held in
#HongKong
at
#HKCEC
!
Welcome to Hong Kong🌆🏝️！
#SIGGRAPHAsia
#SIGGRAPHAsia2025
Exciting news! 🌟
#SIGGRAPHAsia2025
will be held in
#HongKong
at
#HKCEC
! With
#SIGGRAPHAsia2024
in Tokyo set for success, we look forward to dynamic innovation in both cities. See you there!
🗓Save the dates! Tokyo: 3-6 Dec'24 @ TIF + Hong Kong: 15-18 Dec'25 @ HKCEC!
#HKTB
#MEHK
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Such an amazing trip to ICCV2023🇫🇷！
Looking forward to see you again!
#ICCV2023
#ICCVConference
#ICCV
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Wow! Cool!
𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐝𝐯𝐞𝐫𝐬𝐚𝐫𝐢𝐚𝐥 𝐌𝐨𝐭𝐢𝐨𝐧 𝐏𝐫𝐢𝐨𝐫 𝐟𝐨𝐫 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥𝐥𝐲 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐞𝐝 𝐂𝐡𝐚𝐫𝐚𝐜𝐭𝐞𝐫𝐬.
Nice work!
@liangpan_t
😉
I would like to say that
@xbpeng4
's AMP is the most important work for me. Any interesting idea can be quickly validated using AMP with IsaacGym.
Here are some demos I made recently:
(1) a policy that learns various walking styles (the idea comes from cASE
@frankzydou
).
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✨GECO, a 3D distillation pipeline to train a feedforward 3D generative model that operates in only 𝟘.𝟜𝕤. A cool work by
@chenwangcw
!
Excited to share our new work GECO, a 3D distillation pipeline to train a feedforward 3D generative model that operates in only 0.4s. (1/n)
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InterDreamer: generate complex HOIs with higher quality and better alignment to text by synergizing external knowledge.
Introducing 🔥InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction🔥
📰:
🔗:
‼️Generate more complex HOIs with higher quality and better alignment to text by synergizing external knowledge.
🧵[1/5]
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NeuS is one of the representative works in deriving geometry from neural rendering. I still remember the joy I felt while reading NeuS :D
Congrats!
🎉Thrilled to share that the paper, "NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction," has surpassed 1,000 citations! NeuS has set a standard for high-quality and robust neural surface reconstruction.
#Nerf
#3DV
#Reconstruction
#CV
#CG
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🚀Surf-D: a novel method for generating high-quality 3D shapes with arbitrary topologies using Diffusion models.
Project Page:
Paper:
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@Alex_wangjingbo
Similar feeling. Overall the quality is improving, but there are still some artifacts. Check this paper; it's interesting: What is the Best Automated Metric for Text to Motion Generation? >
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(2/3) 🚀Surf-D🚀 achieves superior performance in generating 3D shapes with various topologies while enabling different conditional generation tasks: unconditional generation, category conditional generation, 3D reconstruction from images, and text-to-shape tasks.
#SurfD
#AIGC
(1/3) Introducing 🚀Surf-D🚀, a novel method for generating high-quality 3D shapes as Surfaces with arbitrary topologies using Diffusion models.
Surf-D demonstrates superior performance in 3D shape generation across various modalities (TBC)!
Good job, Zhengming
@Proof_Yu
!
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Some recent works from AnySyn3D :
🌟 SyncDreamer (
#ICLR2024
Spotlight) attempts to address multi-view consistency issues in single-view 3D generation.
🌟Wonder3D (
#CVPR2024
) uses cross-domain diffusion to solve detail recovery problems.
What will you focus on next? Follow
Hello World! 👋👋👋 This is AnySyn3D!
AnySyn3D is a non-commercial, non-profit research interest group comprising individuals with a strong interest in exploring research problems and cutting-edge technologies in 3D AIGC.
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Hello Sydney! 🐨
🧥JFK✈️HKG✈️SYD👕for SIGA23.
If you're in Sydney for
@SIGGRAPHAsia
2023 and would like to chat about Shape Generation, Motion Synthesis (kinematics-based/physics-based) and Geometry Modeling/Processing, please free to reach out 😊.
🌟We will present our work
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Cool! 💃
In preparation for PULSE's code release:
Releasing PHC+, motion imitation model that has learned ALL of the training data (11313 AMASS sequences).
Available at PHC's codebase 👇🏻
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Awesome! This is incredibly helpful for working on the MAT topics!
🚀 **Q-MAT is NOW LIVE!** 🎉
After tons of requests, we've finally open-sourced the 2015 SIGGRAPH Q-MAT code on GitHub! Dive in and check it out: !!
💻 Compatible with Windows & MacOS. More support coming soon—stay tuned!
#SIGGRAPH
#QMAT
#MedialAxis
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🌟Cool work for weak feature consolidation in mesh simplification!
Weak feature consolidating CVT!
Congratulations, Rui!
#consolidation
#remesh
#tessellation
#geometry
#mesh
#optimization
#graphics
Very excited to share our work on SIGGRAPH 2024: CWF: Consolidating Weak Features in High-quality Mesh Simplification.
Proj:
Code: (some star pls)
Paper：
YouTube：
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Heading to Sydney! Departing from New York JFK Airport on December 10th✈️. Excited to meet you in Sydney 🦘🐨
@SIGGRAPHAsia
!
#SIGGRAPHAsia2023
Less than two weeks until SIGGRAPH Asia 2023! Already registered? Join the conversation by using the event hashtag
#SIGGRAPHAsia2023
and banners we've prepared for you! Download them here 👉
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This is amazing! Motion synthesis and analysis with rich human-object interactions is one of my next key focuses.
4D motion generation is COOL!
Looking forward to the open-source dataset.🤩
Alert🚨 This could be by far the most impressive video about 4D human motion generation! 🔥🔥🔥
We present TRUMANS, a pioneering and solid effort that scales up 4D human-scene interactions with both static and dynamic objects. With our model, we could eventually generate
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🤩
1/ Happy to share our new paper "Surface-Filling Curve Flows via Implicit Medial Axes" at
#SIGGRAPH2024
!
We introduce a fast, robust and user-controllable algorithm to compute surface-filling curves. 🐍✈️
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Wow! New foundation model for jointly estimating depth and surface normal from monocular images.
These are crucial for downstream tasks such as surface reconstruction and generation.
The huggingface gradio demo of GeoWizard is out!
Single click for both depth and normal with rich details.
The reconstruction feature will be soon.
Visit our page for more comparisons.
#Depth
#Normal
#Gradio
#Hugggingface
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Welcome to check out our paper at EuroGraphics 2022!
Coverage Axis: Inner Point Selection for 3D Shape Skeletonization.
Inspired by the set cover problem, we present a simple yet effective formulation called Coverage Axis for 3D shape skeletonization.
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I'm delighted that our work has been conditionally accepted by SIGGRAPH ASIA 2023. Hope to see you in Sydney! 🦘🐨
#SIGGRAPHASIA
#SIGGRAPHASIA2023
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😄The humanoid robot could write a paper and submit it, then attend the conference and, for sure, present its (his/her) paper(s).
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Nice work!
@xrvitd
Introduce our new work ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models.
We study an under-explored but important factor of diffusion generative models, i.e., the combinatorial complexity.
Project:
Code:
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Congratulations to Rui
@xrvitd
and Ningna
@ninnnnnglala
! 🥳🥳🥳
It's such a pity that I can't be there in person to attend the conference...
#SIGGRAPH
#SIGGRAPH2023
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Two SIGGRAPH submissions: one Rej and one CA. mixed feelings…🤖️
Keep moving.
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(3/n) 🚀SO(Sequentially Offset)-SMPL🚀 + 🏃EMDM🏃 for animation making! (combining recent two projects)
⚡️Now, anyone can create character animations using just a few text inputs⚡️.
1️⃣Step 1: Generate animation-ready 3D avatars💃🕺 with disentangled clothes🧥👗👖👔 👚from text
Combining with text to motion methods like EMDM(), we can easily use texts to generate complete sequences of realistic character animations!(4/4)
Huge shout out to all co-authors😀
@YuanLiu41955461
@frankzydou
@Proof_Yu
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Give SO-SMPL a shot! :)
SO-SMPL can generate high-quality disentangled human body and clothes meshes from text prompts. Compared to other methods, this can achieve much more photorealistic animations.
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See you in Sydney! 🐨
Don't let our early bird ticket prices fly by 🐥 Get the best savings on your tickets to
#SIGGRAPHAsia2023
and we'll see you in Sydney, Australia, this 12 - 15 December!
Early bird prices end 5 November 👉
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Don’t miss it! 🔥
HuMoGen
@CVPR
is happening next week🔥🔥🔥
[Tue, June 18, from 8:30 AM to 1:00 PM @ Summit 430]
Don't miss out our great speakers and 21 accepted papers!!
Full schedule @
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Interesting work! I’ve always believed that physics-based (motion) priors could handle various sparse input signals, e.g., VR handles, 6DoF and captured videos from the headset, in motion tracking much better!
#CVPR2024
Highlight🌟
SimXR: Real-Time Simulated Avatar from Head-Mounted Sensors
Controlling simulated humanoids and estimate full-body pose using SLAM images and headset pose in real time.
🌐:
📜:
🧑🏻💻:
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Cool!
#Wonder3D
Wonder3d - First steps
image generated with midjourney
depth images :
.obj created and extracted from (
@camenduru
boss)
tests to print in resin? soon?
#midjourney
#3d
#3dprint
#wonder3d
#aiart
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Check out our new
#SIGGRAPH2023
work on globally consistent normal orientation for point clouds - even for shapes with thin structures and high genus!
#siggraph
#3Dshape
#pointcloud
#reconstruction
Need a powerful tool for orientating point cloud normal vectors, even for those challenging shapes with extremely thin structures or high genus?
Try our latest
#SIGGRAPH2023
work: "Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field."
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Suddenly felt a neural surge⚡️ in my brain regarding the computation of MAT (Medial Axis Transform). 😃
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Come and Apply!
I’m recruiting multiple PhD students in my group at
@CIS_Penn
in the following areas:
- Neural Representations and rendering for 3D/4D Reconstruction
- 3D Generative Models
- Human Motion Generation
- LLM guided Graphics and Vision
- Neural Representations for Robotics
etc.
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“And now I see with eye serene.
The very pulse of the machine.”
With OpenAI, Figure 01 can now have full conversations with people
-OpenAI models provide high-level visual and language intelligence
-Figure neural networks deliver fast, low-level, dexterous robot actions
Everything in this video is a neural network:
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17K
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PHC is so cool; it is super robust to track (with fail-state recovery) the generated kinematics-based human motion from EMDM and yield motion with physics correctness! 👍
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Looking forward to seeing you in Paris!
🇫🇷 🤗
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Welcome to check out our SIGGRAPH 2023 paper: Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field.
We propose a powerful method for point cloud normal orientation.
#siggraph
#siggraph2023
Project page:
We are excited to announce our recent work at SIGGRAPH 2023: Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field.
#SIGGRAPH2023
Project homepage: …
Paper link:
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Amazing tool! 👍
After 2 years of hard work by the team, we are thrilled to release today! Scholar Inbox is a personal paper recommender which enables you to stay up-to-date with the most relevant progress by delivering personal suggestions directly to your inbox.🧵
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Amazing!
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
paper page:
present a novel diffusion model called that generates multiview-consistent images from a single-view image. Using pretrained large-scale 2D diffusion models, recent
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(2/n) 🧥👕👔🥼👗👚🩳👘 Various garments generated by SO-SMPL from text inputs.
#AIGC
#Animation
#Character
#Generation
#3D
#AI
#Motion
#SMPL
#Graphics
#SOSMPL
Our pipeline enables generating a diverse range of 3D clothes of different colors, materials, and types, and the generated human body meshes and clothes meshes can be directly utilized in physical simulation environment to produce animations(3/4)
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So happy to share our work Coverage Axis at EG22.😃
Hope could attend on-site next time!
#Eurographics2022
#EG2022_Reims
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✨Exciting opportunity! Sony US Labs in San Jose, CA, is looking for a 2024 Fall research intern for 3D human motion synthesis and human-object interaction. Remote/in-person options available.
Our team at Sony US Labs (located in San Jose, CA) is looking for a 2024 Fall research intern to work on 3D human motion synthesis and human-object interaction. Remote/in-person options are available. If you’re interested, feel free to DM me.
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Welcome to check out our paper "RFEPS: Reconstructing Feature-Line Equipped Polygonal Surface" :D
The code can be found here:
#SIGGRAPHAsia2022
We introduce RFEPS in siggraph asia 2022, a novel method reconstructs a feature-line equipped polygonal surface from the noisy point cloud.
The recovered feature lines are very beneficial for the CAD model recovery.
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🎉 Don't miss it! :D
3DV Keynote: **Generalized 3D Reconstruction**
Lingjie Liu (University of Pennsylvania)
🗓️5:00 - 6:00 PM CET Wednesday Mar 20, 2024
📺Follow the keynote live on
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@_cheng_lin
Thanks, Cheng!! "When you touch your FACE, you need DICE." -> This rhyme is really cool😎!
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🥲
❗️❗️❗️ The system experienced an overwhelming amount of submissions once again. We are working on fixing the issue. Stay tuned for updates!
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