JoVox jointly models voxel hierarchy with discrete flow matching
Authors report 8x training throughput, 1/15 forward FLOPs, and 11% lower Chamfer distance than TRELLIS.2.
31 stories, newest first · one card per story
Authors report 8x training throughput, 1/15 forward FLOPs, and 11% lower Chamfer distance than TRELLIS.2.
4B model converts text prompts to editable 3D assets exportable as GLB files for Godot or Three.js.
SeMo3D uses selective modeling to unify 3D tasks with region-selective denoising and Omni3DiT architecture.
On 24 multi-shot tasks, human raters preferred DyCraft over a native GPT-6 agent in Codex and prior baselines.
Reviewer-model feedback on renders helps more than extra reasoning or an agent harness, and can lift a 27B model past a 2.8T model's single-shot rate.
Diffusion transformers model scenes in a 3D latent from DINOv2, SigLIP2, and DA3 instead of redundant 2D views.
Two new datasets train design and critique, and test-time critic guidance further improves generation.
3DCodeVerse pairs a 2M executable-code dataset with a harness that beats Claude Design in tests.
SUPRA-Tex textures 3D meshes from one image using aligned PBR latents and reports commercial-level fidelity.
3DCodeVerse pairs a 2M executable-3D dataset and verification harness that wins 90% against Claude Design.
GPT-6-Astra scored 79.9 overall, ahead of Opus-5 at 73.0 and GPT-5.6-Sol at 67.7.
Artisan’s multi-agent pipeline adds physics feedback so generated articulated 3D assets collide less and stay more stable.
SpaceFlow adds local geometric and appearance control to training-free text-to-3D generation.
SpaceFlow enables locally controllable, training-free 3D generation from text and geometric primitives.
Tetris3D reconstructs single-image 3D scenes so interacting objects remain geometrically and physically coherent.
A redesigned object generator builds complete indoor and outdoor 3D meshes from one image, beating prior baselines.
Training-free MC-Sparse speeds diffusion-transformer denoising up to 2.32× with negligible quality loss.
MC-Sparse narrows the dense-sparse attention gap, speeding diffusion denoising up to 2.32× with little quality loss.
DistScene generates compositional 3D scenes from one image by jointly modeling environments and objects.
LMBuild benchmarks LLM agents on generating structures that are buildable, functional, and physically realizable.
SILSA generates high-resolution 3D shapes from sliding-window slice latents, using far fewer tokens and improving topology.
OctLLM feeds 3D shapes to an LLM as sparse octree tokens via frozen-backbone trainable branches, cutting image-to-3D FID 17.4% versus ShapeLLM-Omni.
SILSA generates high-resolution 3D shapes from compact slice latents while preserving topology and cutting token cost.
GeoVerse synthesizes world-consistent novel views inside a geometric latent space using video appearance priors.
Today 1.5K readers · 2.4K views · 754 reads · all time 189K views