Comments (8)
Thank you for your interest in our CRM paper!
- The decoder cannot directly work at resolution 512x3,072. However, I will upload the model trained on this resolution 512x3,072 if you can get the upsampling image work.
- The CCM is for better geometry and cannot be skipped. I have conducted ablation study on Figure 10 in my paper. CRM without CCM input has worse geometry.
- Actually depth map can be equivalently transformed to CCM in my framework. So I think it is highly likely to work.
By the way, I think the resolution of CCM is not very important. I think a good pipeline may be generate 256*1536 image and CCM, and then use neural network to upsample the image and simply resize the CCM to be in the resolution of 512x3,072.
from crm.
original model render:
couple of Re-renders
your work is a blessing to us, those are Re-renders of the RGB to retexture the mesh . more consistency is needed .
will move to depth map after that , good depth comes from good RGB.
cheers.
from crm.
thank you very much will be waiting for that model
I will explore more Point 3 .
from crm.
original model render:
couple of Re-renders
![]()
your work is a blessing to us, those are Re-renders of the RGB to retexture the mesh . more consistency is needed . will move to depth map after that , good depth comes from good RGB. cheers.
Awesome!!! Can you share your result with code?
from crm.
original model render:
couple of Re-renders
![]()
your work is a blessing to us, those are Re-renders of the RGB to retexture the mesh . more consistency is needed . will move to depth map after that , good depth comes from good RGB. cheers.
is this a up-scaled rgb? or rendered mesh?
from crm.
I'm trying to upscale RGB from stage1
This:
Line 152 in 3e677cb
and this:
Line 135 in 3e677cb
For upscale i'm used BSRGAN.
https://github.com/cszn/BSRGAN
- Generate images (256x1536) by stage 1
- Upscale it by BSRGAN (x2 or 4x)
- Resize images to (256x1536)
- Use upscaled and resized images for generate3d
This steps not make quality improvement like @mr-lab comments.
Another way i tried make upscale for every image generated in step1:
- Generate image (256x256)
- Upscale it by BSRGAN (x2 or x4)
- Resize to original size (256x256)
- Use upscaled and resized images for stage2
The results are not very good either
Maybe @mr-lab share some more information about his research....
from crm.
@mosvlad
we need a decoder that can process higher resolutions 512*3,072
@thuwzy is probably working on that .
Now we are working on an alternative ,Transfer CRM results to a 3d blob representing the shape of the subject ,
then remodel that blob into a model by moving vertex pos until they match target...still long way to see any good results .
CRM is the only True 3d generator , times and times again proven to provide consistent multi-view shots , no other project can do . will continue to prepare for a larger decoder .
from crm.
@thuwzy Hello, I am interested in upscaling the resolution of RGBs to get high-resolution textured meshes. You mentioned that you are working on 512-level decoders. I am curious about the maximum resolution that GPUs (maybe A100/A800) can handle. Is 1024 an acceptable resolution?
from crm.
Related Issues (20)
- How do you render an image from flexicube geometry? HOT 1
- Why can't I successfully download the weights file?
- 请您把项目给清晰些,不要霍霍别人 HOT 2
- 关于demo的lego-style HOT 1
- environment problem HOT 1
- 显存最低要求是多少?8GB报错内存不足 HOT 1
- Could you share the filter list of Objaverse?
- problems about the random seed in the code HOT 2
- CUDA out of memory
- gradio app.py error HOT 2
- Multi GPUs
- Seeking Clarification on VAE and CRM Performance in CCM Diffusion HOT 1
- Hi, image as guide
- Is there any plan to release training script? HOT 4
- RuntimeError: Ninja is required to load C++ extensions HOT 4
- version error HOT 2
- checkpoint loading size mismatch HOT 9
- Error with Xformers newest version HOT 2
- training code HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from crm.