computer graphics
PulseAugur coverage of computer graphics — every cluster mentioning computer graphics across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New pipeline converts hair cards to detailed strand-based hairstyles
Researchers have developed HairCS, an automated pipeline designed to convert hair-card models into detailed, strand-based hairstyles. This method takes textured strips as input and generates a strand-based representatio…
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New RealSimLoop framework bridges real-world data and physics simulation
Researchers have developed RealSimLoop, a novel framework designed to bridge the gap between real-world observations and physics-based simulations. This system uses vision feedback to adapt simulations in real-time, ach…
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New method enables gradient-based optimization of 3D shapes
Researchers have developed a method for differentiable voxelization of surface representations, enabling gradient-based optimization of volumetric properties relative to surface parameters. This technique allows for eff…
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New ARAP Energy Computation Method for Implicit Surfaces Developed
Researchers have developed a new method for computing the As-Rigid-As-Possible (ARAP) energy for implicit surfaces, a technique commonly used in machine learning for shape processing. This approach leverages the implici…
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AI, Behavioral Science, and Computer Graphics Topics Explored
This item is a collection of links and topics related to AI, behavioral science, and computer graphics, with a focus on improving daily routines. It mentions SIGGRAPH and the Association for Computational Linguistics (A…
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New AI Model GIRAF Enhances Human-Object Interaction Synthesis
Researchers have developed GIRAF, a text-conditioned diffusion model designed to generate realistic human interactions with articulated objects. This advancement addresses a key challenge in embodied AI and computer gra…
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PhysiFormer uses coordinate-space diffusion for physically-plausible 3D object motion simulation · 3 sources tracked
Researchers have developed PhysiFormer, a novel diffusion transformer capable of simulating physically plausible 3D object motions. Unlike previous methods that operate in pixel space, PhysiFormer works directly with 3D…
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AI sales tools and text-to-3D generation explored
This cluster covers two distinct AI topics: the application of AI tools to enhance sales operations and the current advancements in text-to-3D model generation. The first item details how AI can streamline sales process…
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New Neural Network Embeds Lie Groups for Robotics and Control
Researchers have developed a novel approach called Lie group embedded dynamical neural networks (LieEDNN) to address challenges in modeling continuous symmetries and non-Euclidean dynamics within neural networks. This m…
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REVIVE 3D generates voluminous 3D assets from flat images with novel enhancement pipeline
Researchers have developed REVIVE 3D, a novel two-stage pipeline designed to generate detailed 3D assets from flat 2D images. The system first creates an "Inflated Prior" by recovering global volume and adding part-awar…