Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

3D Crowd Generation with Stable-Diffusion and Blender. A thread exploring current simplest approaches, limitations and possible improvements. #stablediffusion #crowdgen #b3d

157,067 Aufrufe • vor 3 Jahren •via X (Twitter)

10 Kommentare

Profilbild von Alex Martinelli
Alex Martinellivor 3 Jahren

Any generative-model could work, but stable-diffusion has an awesome ecosystem, and can leverage ControlNet to generate full-body controllable poses. Then is all about good prompting and quality fix (e.g. hd +face-restoration).

Profilbild von Alex Martinelli
Alex Martinellivor 3 Jahren

Similarly, PIFuHD ( doesn't always generate the best results, but is easy and fast. Potential better alternative are already there, for example ECON ( more powerful but slower.

Profilbild von Alex Martinelli
Alex Martinellivor 3 Jahren

Biggest limitation is texture. We can project the original stable-diffusion image, but is missing sides and back. Projects exist already for this, for example The idea is to use again generative-models to generate (or complete) a texture given a 3D object

Profilbild von Alex Martinelli
Alex Martinellivor 3 Jahren

Example: a crowd of knights #stablediffusion #b3d

Profilbild von Alex Martinelli
Alex Martinellivor 3 Jahren

Example: "sci-fi" crowd #stablediffusion #b3d

Profilbild von Alex Martinelli
Alex Martinellivor 3 Jahren

I just published an article describing step-by-step the process and tools to achieve the results showcase in the video. Feel free to drop comments, feedback and requests. #stablediffusion #crowdgen #b3d

Profilbild von Duranovsky
Duranovskyvor 3 Jahren

If you generate them in a Tpose, icon them and then rig/animate them in Mixamo, you will end up with a crowd that moves. And you can program a sequence of looped motions to make them fight, cheer or just chill out

Profilbild von Alex Martinelli
Alex Martinellivor 3 Jahren

I'm exactly working on that too. Simple process, but can't access Mixamo programmatically, so you gotta rig it manually, which doesn't scale.

Profilbild von ceejay achu
ceejay achuvor 3 Jahren

detailed tutorial!!! please!!

Profilbild von fabio boehl
fabio boehlvor 3 Jahren

Wow

Ähnliche Videos

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior paper page: present DreamCraft3D, a hierarchical 3D content generation method that produces high-fidelity and coherent 3D objects. We tackle the problem by leveraging a 2D reference image to guide the stages of geometry sculpting and texture boosting. A central focus of this work is to address the consistency issue that existing works encounter. To sculpt geometries that render coherently, we perform score distillation sampling via a view-dependent diffusion model. This 3D prior, alongside several training strategies, prioritizes the geometry consistency but compromises the texture fidelity. We further propose Bootstrapped Score Distillation to specifically boost the texture. We train a personalized diffusion model, Dreambooth, on the augmented renderings of the scene, imbuing it with 3D knowledge of the scene being optimized. The score distillation from this 3D-aware diffusion prior provides view-consistent guidance for the scene. Notably, through an alternating optimization of the diffusion prior and 3D scene representation, we achieve mutually reinforcing improvements: the optimized 3D scene aids in training the scene-specific diffusion model, which offers increasingly view-consistent guidance for 3D optimization. The optimization is thus bootstrapped and leads to substantial texture boosting. With tailored 3D priors throughout the hierarchical generation, DreamCraft3D generates coherent 3D objects with photorealistic renderings, advancing the state-of-the-art in 3D content generation.

AK

161,530 Aufrufe • vor 2 Jahren