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CG crowds have become increasingly popular this last decade in the VFX and animation industry: formerly reserved to only a few high end studios and blockbusters, they are now widely used in TV shows or commercials. Yet, there is still one major ...

A hallmark capability that defines a renderer as a production renderer is the ability to scale to handle scenes with extreme complexity, including complex illumination cast by a vast number of light sources. In this paper, we present Cache Points, the ...

In order to achieve a specific, oil-painting-inspired rendering style, Blender Studio developed a solution based on Blender’s generative geometry and simulation framework “Geometry Nodes”, creating an artist-friendly set of workflows and tools. This ...

We present an overview of Animal Logic’s curve rigging toolset and its development process, serving as a case study to discuss challenges specific to doing software development for animated feature film production. We will show how R&D projects at ...

We describe a plugin-based architecture for developing component-based Qt applications for animation and visual effects, and discuss the benefits this approach offers in terms of code reuse, stability and consistency. We introduce an Application ...

We ported the Sony Pictures Imageworks version of the Arnold Renderer to the GPU using NVIDIA’s OptiX ray tracing toolkit. This required modifying algorithms to run efficiently on the GPU, the use of new software methodologies to better share source ...

VolumeMatic is an Apple Vision Pro natural language text to interactive volume app creator app, utilizing the “chat to create" motif. The user can easily create 3D using various AI3D creation methods, such as text to 3D and image to 3D from different ...

We present an unsupervised 3D shape co-segmentation method which learns a set of deformable part templates from a shape collection. To accommodate structural variations in the collection, our network composes each shape by a selected subset of template ...

Despite recent significant strides achieved by diffusion-based Text-to-Image (T2I) models, current systems are still less capable of ensuring decent compositional generation aligned with text prompts, particularly for the multi-object generation. In ...

The common trade-offs of state-of-the-art methods for multi-shape representation (a single model "packing" multiple objects) involve trading modeling accuracy against memory and storage. We show how to encode multiple shapes represented as continuous ...

We present LooseControl to allow generalized depth conditioning for diffusion-based image generation. ControlNet, the SOTA for depth conditioned image generation, produces remarkable results but relies on having access to detailed depth maps for ...

Misfocus is ubiquitous for almost all video producers, degrading video quality and often causing expensive delays and reshoots. Current autofocus (AF) systems are vulnerable to sudden disturbances such as subject movement or lighting changes commonly ...

Optical motion capture (mocap) requires accurately reconstructing the human body from retroreflective markers, including pose and shape. In a typical mocap setting, marker labeling is an important but tedious and error-prone step. Previous work has ...

Hair meshes are known to be effective for modeling and animating hair in computer graphics. We present how the hair mesh structure can be used for efficiently rendering strand-based hair models on the GPU with on-the-fly geometry generation that ...

Dynamic scene rendering at any novel view continues to be a difficult but important task, especially for high-fidelity rendering quality with efficient rendering speed. The recent 3D Gaussian Splatting, i.e., 3DGS, shows great success for static scene ...

This paper introduces an innovative approach for image matting that redefines the traditional regression-based task as a generative modeling challenge. Our method harnesses the capabilities of latent diffusion models, enriched with extensive pre-trained ...

Creating scenes for captured motions that achieve realistic human-scene interaction is crucial for 3D animation in movies or video games. As character motion is often captured in a blue-screened studio without real furniture or objects in place, there ...

Creating vivid crowd animations is core to immersive virtual environments in digital games. This work focuses on tackling the challenges of the crowd behavior generation problem. Existing approaches are labor-intensive, relying on practitioners to ...

The gradual nature of a diffusion process that synthesizes samples in small increments constitutes a key ingredient of Denoising Diffusion Probabilistic Models (DDPM), which have presented unprecedented quality in image synthesis and been recently ...

This paper introduces a novel Lagrangian fluid solver based on covector flow maps. We aim to address the challenges of establishing a robust flow-map solver for incompressible fluids under complex boundary conditions. Our key idea is to use particle ...