Articles in the 3D AI series by Hwan Heo.
Why generic compiler paths underperform on dynamic sparse 3D generative models—and how null-context attention removal and model-aware CUDA kernels cut inference
How a fast-follower team tracked the evolution of 3D AI to build an in-house generative 3D service—from VecSet VAEs to Voxel-conditioned 3D DiTs.
Why a Straight Line? Unpacking the Physics and Geometry of Rectified Flow
Comparing vecset and sparse-voxel VAE–DiT architectures, from 3D representation and compression to shape-generation design
Preparing training-ready 3D data through watertight mesh conversion, surface sampling, and salient-edge-aware preprocessing
Tracing 3D latent diffusion from ShapeVAE to TRELLIS and Hunyuan3D, and comparing how modern systems represent and generate shape
Evaluating diffusion-estimated depth by turning Marigold predictions into textured meshes and inspecting their geometric consistency.
Testing whether video generation models encode enough 3D consistency to reconstruct radiance fields from their synthesized views