Загрузка видео...

Не удалось загрузить видео

На главную

Another gem-TRELLIS.2: Native 3D generation via structured latents; - full PBR assets up to 1536³; - outperforms TRELLIS & Direct3D-S2.

wildmindai's profile picture

Wildminder

7,766 subscribers

56,275 просмотров • 7 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Pixal3D by Tencent. 3D models from images with unprecedented accuracy. - Explicit 2D-3D correspondence - Aggregates multi-view feature volumes for global consistency - 93.57% IoU on Toys4K benchmark - Outperforms TRELLIS/Hunyuan3D-2.1 based on Direct3D-S2 + DINOv2
0:53

Pixal3D by Tencent. 3D models from images with unprecedented accuracy. - Explicit 2D-3D correspondence - Aggregates multi-view feature volumes for global consistency - 93.57% IoU on Toys4K benchmark - Outperforms TRELLIS/Hunyuan3D-2.1 based on Direct3D-S2 + DINOv2

Wildminder

22,066 просмотров • 2 месяцев назад

Oh wow! TRELLIS 2 just dropped and it's a huge leap for image → 3D mesh generation. 📦 Compact structured latents = editable, efficient meshes 🔍 Sharper topology + better materials 💨 Faster inference with higher quality Links 👇
0:37

Oh wow! TRELLIS 2 just dropped and it's a huge leap for image → 3D mesh generation. 📦 Compact structured latents = editable, efficient meshes 🔍 Sharper topology + better materials 💨 Faster inference with higher quality Links 👇

Will Eastcott

21,235 просмотров • 7 месяцев назад

Microsoft just dropped TRELLIS.2 This AI turns image into photoreal-ish 3D with full PBR Now with higher definition and hyper realism Code + live demo below 👇
0:52

Microsoft just dropped TRELLIS.2 This AI turns image into photoreal-ish 3D with full PBR Now with higher definition and hyper realism Code + live demo below 👇

Min Choi

103,328 просмотров • 7 месяцев назад

You can now train a 3D LoRA, exclusively on fal! TRELLIS.2 LoRA Trainer turns a folder of 3D assets into custom image-to-3D adapters, fine-tune shape and texture, then generate GLBs that match your style.
0:27

You can now train a 3D LoRA, exclusively on fal! TRELLIS.2 LoRA Trainer turns a folder of 3D assets into custom image-to-3D adapters, fine-tune shape and texture, then generate GLBs that match your style.

fal

50,126 просмотров • 16 дней назад

Tripo P1.0 is live. Introducing Smart Mesh in Tripo Studio — generate structured 3D meshes in ~2 seconds. ⚡ ~2s generation 🧠 Smart topology 🛠 Production-ready assets 🌍 Built for game pipelines, real-time rendering, web 3D tools, and scalable content production From prompt to usable mesh — almost instantly. Try it: #3DAI #3DCG #3dart #Tripo
0:00

Tripo P1.0 is live. Introducing Smart Mesh in Tripo Studio — generate structured 3D meshes in ~2 seconds. ⚡ ~2s generation 🧠 Smart topology 🛠 Production-ready assets 🌍 Built for game pipelines, real-time rendering, web 3D tools, and scalable content production From prompt to usable mesh — almost instantly. Try it: #3DAI #3DCG #3dart #Tripo

Tripo

44,492 просмотров • 4 месяцев назад

We're introducing Project AELLA, in partnership with LAION & @wyndlabs_ai AELLA is an open-science initiative to make scientific research accessible via structured summaries created by LLMs Available now: - Dataset of 100K summaries - 2 fine-tuned LLMs - 3d visualizer 👇
0:21

We're introducing Project AELLA, in partnership with LAION & @wyndlabs_ai AELLA is an open-science initiative to make scientific research accessible via structured summaries created by LLMs Available now: - Dataset of 100K summaries - 2 fine-tuned LLMs - 3d visualizer 👇

Sam Hogan 🇺🇸

811,262 просмотров • 8 месяцев назад

Introducing the Marso Measure 3D Capture Programme 🎉 Calling all 3D scan artists! Get free access to Marso Measure, capture real-world assets, grow your portfolio, get noticed and win prizes. Starting January 2026. Prizes include: 🏆 Prize money of up to £3,000 for the best scanners 📸 Sony A7 Mark IV 💼 Annual Marso Measure License 🌍 Collaboration with M-XR partners 🎓 Certified Scan Artist status If you love 3D, PBR materials, and realism - apply now! Want to learn more? Check the comments for the full details and deck. #3D #VFX #3DScanning #MarsoMeasure #MXR #Photogrammetry #PBR #DigitalTwins
0:31

Introducing the Marso Measure 3D Capture Programme 🎉 Calling all 3D scan artists! Get free access to Marso Measure, capture real-world assets, grow your portfolio, get noticed and win prizes. Starting January 2026. Prizes include: 🏆 Prize money of up to £3,000 for the best scanners 📸 Sony A7 Mark IV 💼 Annual Marso Measure License 🌍 Collaboration with M-XR partners 🎓 Certified Scan Artist status If you love 3D, PBR materials, and realism - apply now! Want to learn more? Check the comments for the full details and deck. #3D #VFX #3DScanning #MarsoMeasure #MXR #Photogrammetry #PBR #DigitalTwins

M-XR

14,049 просмотров • 7 месяцев назад

🚀Exciting News! Tencent Hunyuan 3D AI Creation Engine v2.5 is here, revolutionizing 3D generation with ultra-high-definition modeling! 1⃣Massive Leap in Precision: Upgraded geometric model with 10B parameters (up from 1B) and 10x more mesh faces, delivering 1024-resolution geometric details—smoother surfaces, sharper edges, and richer visuals! 2⃣High-quality Textures & PBR: Supports high-quality textures and fine-grained bump mapping for lifelike surfaces. Industry-first multi-view PBR generation for realistic lighting and reflections. 3⃣Animation Boost: Optimized skeletal rigging with automatic bone binding and skin weight assignment, streamlining 3D animation workflows. 4⃣Flexible Workflows: New pipeline templates for text-to-3D and image-to-3D mesh reduction, plus multi-view 3D generation, empowering game development, animation, and more with customizable 3D assets. 5⃣Accessible Creation: Generate high-quality 3D models from text or images, slashing complexity. Free daily quota doubled to 20 for the AI Engine, with the API now live on Tencent Cloud! ☀️From games to AR/VR, Hunyuan 3D is redefining 3D AIGC, making creation faster, smarter, and more inclusive. Try it now! Tencent Hunyuan 3D AI Creation Engine: Tencent Hunyuan 3D Open Source:
1:30

🚀Exciting News! Tencent Hunyuan 3D AI Creation Engine v2.5 is here, revolutionizing 3D generation with ultra-high-definition modeling! 1⃣Massive Leap in Precision: Upgraded geometric model with 10B parameters (up from 1B) and 10x more mesh faces, delivering 1024-resolution geometric details—smoother surfaces, sharper edges, and richer visuals! 2⃣High-quality Textures & PBR: Supports high-quality textures and fine-grained bump mapping for lifelike surfaces. Industry-first multi-view PBR generation for realistic lighting and reflections. 3⃣Animation Boost: Optimized skeletal rigging with automatic bone binding and skin weight assignment, streamlining 3D animation workflows. 4⃣Flexible Workflows: New pipeline templates for text-to-3D and image-to-3D mesh reduction, plus multi-view 3D generation, empowering game development, animation, and more with customizable 3D assets. 5⃣Accessible Creation: Generate high-quality 3D models from text or images, slashing complexity. Free daily quota doubled to 20 for the AI Engine, with the API now live on Tencent Cloud! ☀️From games to AR/VR, Hunyuan 3D is redefining 3D AIGC, making creation faster, smarter, and more inclusive. Try it now! Tencent Hunyuan 3D AI Creation Engine: Tencent Hunyuan 3D Open Source:

Tencent Hy

58,152 просмотров • 1 год назад

#ByteDance dropped #Seed3D 2.0 and claims an 80% win rate against all major 3D AI tools. After dominating in the AI-video with #Seedance2, they are now entering the 3D generation. And the focus is no longer just textures — it’s about real usability of assets right after generation. I tested: 🔹Geometry (thin & complex structures) 🔹Part-level disassembly for simulations 🔹Unified PBR materials 🔹Compatibility to real game engines Watch the full breakdown — and let’s discuss: can this model actually change the industry?
0:45

#ByteDance dropped #Seed3D 2.0 and claims an 80% win rate against all major 3D AI tools. After dominating in the AI-video with #Seedance2, they are now entering the 3D generation. And the focus is no longer just textures — it’s about real usability of assets right after generation. I tested: 🔹Geometry (thin & complex structures) 🔹Part-level disassembly for simulations 🔹Unified PBR materials 🔹Compatibility to real game engines Watch the full breakdown — and let’s discuss: can this model actually change the industry?

Stefan 3D AI

18,827 просмотров • 2 месяцев назад

wake the fk up samurai. this is katana. not just another general purpose chain. a defi chain forged to kill idle assets via deep liquidity & high yield. public mainnet coming late june. incubated by @0xpolygon x @gsr_io pre-deposits live ⚔️ stop sleeping on your bags
0:37

wake the fk up samurai. this is katana. not just another general purpose chain. a defi chain forged to kill idle assets via deep liquidity & high yield. public mainnet coming late june. incubated by @0xpolygon x @gsr_io pre-deposits live ⚔️ stop sleeping on your bags

Katana ⚔️

723,940 просмотров • 1 год назад

Now this ComfyUI experiment has some potential! #3 Tested the new Trellis 2 Image to 3D and i’m getting decent results. Separating the head and body helped a bit with some details. Also discovering useful helper workflows like removing backgrounds, upscaling and creating Normal maps. Still crazy how it just splits up an illustration like that! This example has 20K triangles, created from 1 front-view, which is not bad! I haven’t tested retopology yet, might have to check Tripo. Also want to test the multi-image setup. There is still some cleanup needed, but nothing to bad. Exploring several pipeline methods and so far the vertex color masking is helpful to keep everything in 1 material.
1:22

Now this ComfyUI experiment has some potential! #3 Tested the new Trellis 2 Image to 3D and i’m getting decent results. Separating the head and body helped a bit with some details. Also discovering useful helper workflows like removing backgrounds, upscaling and creating Normal maps. Still crazy how it just splits up an illustration like that! This example has 20K triangles, created from 1 front-view, which is not bad! I haven’t tested retopology yet, might have to check Tripo. Also want to test the multi-image setup. There is still some cleanup needed, but nothing to bad. Exploring several pipeline methods and so far the vertex color masking is helpful to keep everything in 1 material.

Jerome | InsaneUnreal

21,077 просмотров • 6 месяцев назад

The battle of the Text/Image to 3D Model 👍- To make this fair, I tested the same image across all platforms and used the first generated result. No cherry picking allowed! I also tested what I think are the 4 top services to use right now. Let me know what you think is the best 3D mesh generation from these platforms however I think it's quite obvious that Hunyuan 2.5 is currently the king 👑 It wins in overall detail and sharpness, accuracy in relation to the input image, as well as texture generation and projection. Tripo 2.5 comes in second and Rodin 3rd with Trellis in 4th place. However, Rodin has the best topology since it can generate a mesh in quads BUT I left all of them in triangles to keep it fair. Hi3DGen can't be counted as it can't even generate textures and it has no multi-image support. Meshy was another option but the results were not great. Is there any other AI 3D Gen services that you know of that you want me to test as well?
1:45

The battle of the Text/Image to 3D Model 👍- To make this fair, I tested the same image across all platforms and used the first generated result. No cherry picking allowed! I also tested what I think are the 4 top services to use right now. Let me know what you think is the best 3D mesh generation from these platforms however I think it's quite obvious that Hunyuan 2.5 is currently the king 👑 It wins in overall detail and sharpness, accuracy in relation to the input image, as well as texture generation and projection. Tripo 2.5 comes in second and Rodin 3rd with Trellis in 4th place. However, Rodin has the best topology since it can generate a mesh in quads BUT I left all of them in triangles to keep it fair. Hi3DGen can't be counted as it can't even generate textures and it has no multi-image support. Meshy was another option but the results were not great. Is there any other AI 3D Gen services that you know of that you want me to test as well?

Travis Davids

60,813 просмотров • 1 год назад

🚨 $TMA P2A Season 2 is LIVE! 🚨 Start date: Nov 5, 12:00 UTC ✅22M $TMA tokens up for grabs 🎯 ✅Earn points through gameplay, daily check-ins, quests & assets 💥 ✅Improved rewards for top performers 🏆 JUST PLAY 20 MATCHES, rank up, earn tokens, and track your progress via the leaderboard! You have 4 weeks to climb the leaderboard as $TMA P2A S2 will run until December 3! Want to know more? Check out this thread 🧵 #TMAP2AS2
0:35

🚨 $TMA P2A Season 2 is LIVE! 🚨 Start date: Nov 5, 12:00 UTC ✅22M $TMA tokens up for grabs 🎯 ✅Earn points through gameplay, daily check-ins, quests & assets 💥 ✅Improved rewards for top performers 🏆 JUST PLAY 20 MATCHES, rank up, earn tokens, and track your progress via the leaderboard! You have 4 weeks to climb the leaderboard as $TMA P2A S2 will run until December 3! Want to know more? Check out this thread 🧵 #TMAP2AS2

The Machines Arena

47,473 просмотров • 1 год назад

The KILL la KILL Crossover has begun, and we're hosting yet another fantastic giveaway to celebrate! Lots of spectacular prizes including KILL la KILL units & Special Art are up for grabs! 1. Follow Grand Summoners 2. Repost this post *Only winners will be notified via DM.
0:23

The KILL la KILL Crossover has begun, and we're hosting yet another fantastic giveaway to celebrate! Lots of spectacular prizes including KILL la KILL units & Special Art are up for grabs! 1. Follow Grand Summoners 2. Repost this post *Only winners will be notified via DM.

Grand Summoners

26,200 просмотров • 1 год назад

Generative 3D has been stuck in a representational compromise. When you serialize spatial data to fit standard architectures, you force a unidirectional causal bias. It fundamentally breaks the symmetry of 3D geometry and limits how the model understands global context. With Tripo P1.0, we stepped back to fix the representation. Instead of flattening 3D into sequences, P1.0 operates entirely within a native spatial probability space. It reasons about the entire structure at once. That’s why the topology actually makes sense. We aren't running a post-process remesher to clean up artifacts. When you directly model the structured surface manifold, clean edge flows and structural coherence naturally emerge from the noise. This is what happens when the architecture finally respects the medium. And we are doing it in 2 seconds.
0:47

Generative 3D has been stuck in a representational compromise. When you serialize spatial data to fit standard architectures, you force a unidirectional causal bias. It fundamentally breaks the symmetry of 3D geometry and limits how the model understands global context. With Tripo P1.0, we stepped back to fix the representation. Instead of flattening 3D into sequences, P1.0 operates entirely within a native spatial probability space. It reasons about the entire structure at once. That’s why the topology actually makes sense. We aren't running a post-process remesher to clean up artifacts. When you directly model the structured surface manifold, clean edge flows and structural coherence naturally emerge from the noise. This is what happens when the architecture finally respects the medium. And we are doing it in 2 seconds.

Yanpei Cao

65,243 просмотров • 4 месяцев назад

In this experiment I wanted to try something with facial expressions and have it work with native Unreal Engine tools. I did find that generating the head with an open mouth helped to get some extra details. Creating those blend shapes was still not easy and this result is far from perfect. Ideally i want 58 generated expression references and have AI figure that out haha. btw first time baking the high poly details onto the low poly generated character. That worked surprisingly well! Endresult has 34k triangles! Built this character in 4 separate parts in Blender and generated each part in Hunyuan 3D Studio. The original references came from Nano Banana 2 and Grok. Trellis 2 in ComfyUI for the texturing. The animation was done with Control Rig in UEFN / Unreal Engine. With all the experiments so far, file and version management start to become a challenge. Getting files from different platforms with each platform having their own filename logic. I’ll have to find something to keep it more organized. Any suggestions?
1:26

In this experiment I wanted to try something with facial expressions and have it work with native Unreal Engine tools. I did find that generating the head with an open mouth helped to get some extra details. Creating those blend shapes was still not easy and this result is far from perfect. Ideally i want 58 generated expression references and have AI figure that out haha. btw first time baking the high poly details onto the low poly generated character. That worked surprisingly well! Endresult has 34k triangles! Built this character in 4 separate parts in Blender and generated each part in Hunyuan 3D Studio. The original references came from Nano Banana 2 and Grok. Trellis 2 in ComfyUI for the texturing. The animation was done with Control Rig in UEFN / Unreal Engine. With all the experiments so far, file and version management start to become a challenge. Getting files from different platforms with each platform having their own filename logic. I’ll have to find something to keep it more organized. Any suggestions?

Jerome | InsaneUnreal

46,086 просмотров • 4 месяцев назад

“He (Bivol) only lasted 2 rounds (sparring David)” Jose Benavidez on the sparring between David Benavidez & Dmitry Bivol. Says that’s the real reason why Bivol gave up the belt; knows what will happen when they fight Full reaction to no Bivol vs Benavidez via Fight Hub TV YT
0:57

“He (Bivol) only lasted 2 rounds (sparring David)” Jose Benavidez on the sparring between David Benavidez & Dmitry Bivol. Says that’s the real reason why Bivol gave up the belt; knows what will happen when they fight Full reaction to no Bivol vs Benavidez via Fight Hub TV YT

Marcos Villegas

16,894 просмотров • 1 год назад

1/2 Meet Wan2.7-Video — The Comprehensive Model for Controllable Video Storytelling! From single clips to full-scale narrative direction, we’ve built more than just a generator. We’ve built a director’s suite: • Multimodal control over performance and style via text, image, audio, and video. • Character customization with up to 5 reference inputs and voice profiles. • Video editing with simple, intuitive instructions. • Full-stack creative toolkit: generation, editing, cloning, restyling, continuation, and more. • Sustained improvements in visual fidelity, motion stability, and prompt adherence.
1:44

1/2 Meet Wan2.7-Video — The Comprehensive Model for Controllable Video Storytelling! From single clips to full-scale narrative direction, we’ve built more than just a generator. We’ve built a director’s suite: • Multimodal control over performance and style via text, image, audio, and video. • Character customization with up to 5 reference inputs and voice profiles. • Video editing with simple, intuitive instructions. • Full-stack creative toolkit: generation, editing, cloning, restyling, continuation, and more. • Sustained improvements in visual fidelity, motion stability, and prompt adherence.

Wan

25,571,455 просмотров • 3 месяцев назад

✨We are excited to open-source Tencent HY-Motion 1.0, a billion-parameter text-to-motion model built on the Diffusion Transformer (DiT) architecture and flow matching. Tencent HY-Motion 1.0 empowers developers and individual creators alike by transforming natural language into high-fidelity, fluid, and diverse 3D character animations, delivering exceptional instruction-following capabilities across a broad range of categories. The generated 3D animation assets can be seamlessly integrated into typical 3D animation pipelines.🎮🎥 Highlights: 🔹Billion-Scale DiT: Successfully scaled flow-matching DiT to 1B+ parameters, setting a new ceiling for instruction-following capability and generated motion quality. 🔹Full-Stage Training Strategy: The industry’s first motion generation model featuring a complete Pre-training → SFT → RL loop to optimize physical plausibility and semantic accuracy. 🔹Comprehensive Category Coverage: Features 200+ motion categories across 6 major classes—the most comprehensive in the industry, curated via a meticulous data pipeline. 🌐Project Page: 🔗Github: 🤗Hugging Face: 📄Technical report:
1:15

✨We are excited to open-source Tencent HY-Motion 1.0, a billion-parameter text-to-motion model built on the Diffusion Transformer (DiT) architecture and flow matching. Tencent HY-Motion 1.0 empowers developers and individual creators alike by transforming natural language into high-fidelity, fluid, and diverse 3D character animations, delivering exceptional instruction-following capabilities across a broad range of categories. The generated 3D animation assets can be seamlessly integrated into typical 3D animation pipelines.🎮🎥 Highlights: 🔹Billion-Scale DiT: Successfully scaled flow-matching DiT to 1B+ parameters, setting a new ceiling for instruction-following capability and generated motion quality. 🔹Full-Stage Training Strategy: The industry’s first motion generation model featuring a complete Pre-training → SFT → RL loop to optimize physical plausibility and semantic accuracy. 🔹Comprehensive Category Coverage: Features 200+ motion categories across 6 major classes—the most comprehensive in the industry, curated via a meticulous data pipeline. 🌐Project Page: 🔗Github: 🤗Hugging Face: 📄Technical report:

Tencent Hy

328,392 просмотров • 6 месяцев назад

I built a fully playable 3D platformer game in exactly 3 days, using almost entirely AI-generated assets. To test whether AI can really replace the asset grind, I came up with a steampunk cat universe from scratch and brought it straight into Unreal Engine 5. Here is how it was done, step by step: 👇 🎨 World and prop concepting 🧩 Tripo 3.1 for low-poly smart meshes and PBR textures 🩹 Blender for geometry cleanup and AO baking 🦴 AccuRIG for character animation 🚀 UE5 for level design and blueprints The craziest part is that AI handled the routine, and I still had the creative energy to make the level actually fun. Watch the full workflow and gameplay reveal: #GameDev #TripoAI #UnrealEngine5 #3DModeling #IndieDev #Blender3D
0:53

I built a fully playable 3D platformer game in exactly 3 days, using almost entirely AI-generated assets. To test whether AI can really replace the asset grind, I came up with a steampunk cat universe from scratch and brought it straight into Unreal Engine 5. Here is how it was done, step by step: 👇 🎨 World and prop concepting 🧩 Tripo 3.1 for low-poly smart meshes and PBR textures 🩹 Blender for geometry cleanup and AO baking 🦴 AccuRIG for character animation 🚀 UE5 for level design and blueprints The craziest part is that AI handled the routine, and I still had the creative energy to make the level actually fun. Watch the full workflow and gameplay reveal: #GameDev #TripoAI #UnrealEngine5 #3DModeling #IndieDev #Blender3D

Stefan 3D AI

17,426 просмотров • 2 месяцев назад